Yuntao Pan

Institute of Scientific and Technical Information of China, Peping, Beijing, China

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Publications (11)24.97 Total impact

  • Lihua Zhai · Yuntao Pan · Yu Guo · Zheng Ma · Fei Bi ·
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    ABSTRACT: This study adopts a bibliometric approach to quantitatively assess current research trends in nanofiltration membrane technology (NFM), a new membrane separation technology widely used in various fields. It analyses scientific papers published between 1988-2011 in all journals contained in the Science Citation Index and patent data with the same time span from the Derwent patent database. The study examines developments in basic NFM research and technological innovations. Over the past 24 years, there has been a notable growth in publication outputs. Compared with other countries, China exhibited a rapid growth, particularly from 2000-2011, with its total number of papers ranking second only to the United States (US). Chinese NFM papers focus on energy and agriculture, while the US focuses on biochemistry and molecular biology. China holds the most global NFM patents, with rapid growth in patent numbers from 2005-2011. China, the US and Japan together hold 78% of the total global NFM patents and have a strong technological advantage in water treatment and separation technology. Although there are four Chinese institutions in the top 10 patentee list, most are application patents that focus on the integrated application of existing nanofiltration membrane. In contrast the patents owned by foreign patentees are mostly research patents involving technology innovations of the nanofiltration membrane itself. Therefore, NFM research capacity in China should be further strengthened to maximize the advantages gained via research to date.
    Scientometrics 11/2014; 101(2):1361-1374. DOI:10.1007/s11192-014-1394-4 · 2.18 Impact Factor
  • Weichao Wang · Yishan Wu · Yuntao Pan ·
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    ABSTRACT: A new quantitative method is introduced to analyze the collaboration among different organizations. The method defines the collaboration score based on the number of people involved in collaboration, and then the collaboration strength is obtained by summing up the collaboration scores with this method. We choose “Project 985” universities, which represent the top universities in China, as an example to study the collaboration network, strength in leading collaboration and strength in participating collaboration. Results based on Scopus show some characteristics of such collaboration and verify the feasibility of the new approach.
    Scientometrics 02/2014; 98(2). DOI:10.1007/s11192-013-1072-y · 2.18 Impact Factor
  • Yuntao Pan · Yuhua Zhang · Xiaopei Gao · Jia Jia · Jiping Gao · Zheng Ma ·
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    ABSTRACT: Neural regeneration following nerve injury is an emerging field that attracts extending interests all over the world.
    Neural Regeneration Research 12/2013; 8(36):3449-54. DOI:10.3969/j.issn.1673-5374.2013.36.011 · 0.22 Impact Factor
  • Zheng Ma · Yuntao Pan · Zhenglu Yu · Jingting Wang · Jia Jia · Yishan Wu ·
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    ABSTRACT: Peer review is a classic method in the field of quality analysis, but the effectiveness of peer reviewing has never been researched using quantity analysis indicators. A new indicator for academic journals, Effectiveness of Peer Review (EPR), is defined for evaluating the effectiveness of peer reviewing. If the assumption is valid, EPR could be a simple indicator of such effectiveness. In a sample experiment, 28 academic journals were tested, and the EPR indicator was able to reflect accurately the academic impact of those journals.
    Scientometrics 04/2012; 95(1). DOI:10.1007/s11192-012-0879-2 · 2.18 Impact Factor
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    ABSTRACT: This paper studies how missing data in the PageRank algorithm influences the result of papers ranking and proposes PrestigeRank algorithm on that basis. We make use of PrestigeRank to give the ranking of all papers in physics in the Chinese Scientific and Technology Papers and Citation Database (CSTPCD) published between 2004 and 2006. We compared PrestigeRank result with PageRank and citation ranking. We found PrestigeRank is significantly correlated with PageRank and citation counts. We also used paper citation networks to rank journals, and compared the result with that of journal citation networks. We proposed PRsum, PRave, and compared both of them with citation counts and impact factor. It indicates PRsum, PRave can reflect journal's authority favorably. We also discuss the advantages and disadvantages, application scope and application prospects of PrestigeRank in the evaluation of papers and journals.
    Journal of Informetrics 01/2011; 5(1):1-13. DOI:10.1016/j.joi.2010.03.011 · 4.23 Impact Factor
  • YanNing Zheng · JunPeng Yuan · YunTao Pan · XiaoYuan Zhao ·
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    ABSTRACT: Citations are a way to show how researchers build on existing research to further evolve research. The citation count is an indication of the influence of specific articles. The importance of citations means that it is valuable to analyze the articles that are cited the most. This research investigates highly-cited articles in physics (1979–2008) using citation data from the ISI Web of Science. In this study, 1544205 articles were examined. The objective of the analysis was to identify and list the highly-productive countries, institutions, authors, and fields in physics. Based on the analysis, it was found that the USA is the world leader in physics, and Japan has maintained the highest growth rate in physics research since 1990. Furthermore, the research focus at Bell Labs and IBM has played important roles in physics. A striking fact is that the five most active authors are all Japanese, but the five most active institutions are all in the USA. In fact, only The University of Tokyo is ranked among the top 11 institutions, and only American authors have single-author articles ranked among the top 19 articles. The highest-impact articles are distributed across 25 subjects categories. Physics, Multidisciplinary has 424 articles, and is ranked at No. 1 in total articles; followed by Physics, Condensed Matter. The study can provide science policy makers with a picture of innovation capability in this field and help them make better decisions. Hopefully, this study will stimulate useful discussion among scientists and research managers about future research directions. Keywordshigh-impact articles–domestic articles–international articles–social network analysis–Web of Science
    Science China: Physics, Mechanics and Astronomy 01/2010; 54(1):176-182. DOI:10.1007/s11433-010-4193-9 · 1.14 Impact Factor
  • Liping Yu · Yuqing Chen · Yuntao Pan · Yishan Wu ·
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    ABSTRACT: This paper classifies common journal evaluation indicators into three categories, namely three first-level indicators. They are respectively the indicators on journal impact, on timeliness, and on journal characteristics. The data used here is drawn from the medical journals in CSTPCD, a citation database built by the Institute of Scientific and Technical Information of China. The three categories of indicators are correlated with one another, so a structural equation may be established. Then we calculate the value of three first-level indicators and give subjective weights to the indicators. The comprehensive evaluation upon the medical journals yields satisfactory results. By simulating the complex relationship among journal indicators, the structural equation can be used for the estimation of some implicit indicators and the screening of indicators. This approach provides a new perspective for scientific and technological evaluation in general sense. It should be noted that the availability of basic data and the rationality of modeling bear much upon the evaluation results.
    Journal of Informetrics 10/2009; 3(4):304-311. DOI:10.1016/j.joi.2009.04.002 · 4.23 Impact Factor
  • Liping Yu · Xiaoming Shen · Yuntao Pan · Yishan Wu ·
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    ABSTRACT: This paper proposes a new method for indicator selection in panel data analysis and tests the method with relevant data on agricultural journals provided by the Institute of Scientific & Technical Information of China. An evaluation exercise by the TOPSIS method is conducted as a comparison. The result shows that panel data analysis is an effective method for indicator selection in scholarly journal evaluation; journals of different disciplines should not be evaluated with the same criteria; it is beneficial to publish all the evaluation indicators; unavailability of a few indicators has a limited influence on evaluation results; simplifying indicators can reduce costs and increase efficiency as well as accuracy of journal evaluation.
    Journal of Informetrics 10/2009; 3(4):312-320. DOI:10.1016/j.joi.2009.04.003 · 4.23 Impact Factor
  • Cheng Su · Yuntao Pan · JunPeng Yuan · Hong Guo · ZhengLu Yu · ZhiYu Hu ·
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    ABSTRACT: Journal citation measures are one of the most widely used bibliometric tools. The most well-known measure is the ISI Impact Factor, under the standard definition, the impact factor of journal j in a given year is the average number of citations received by papers published in the previous two years of journal j. However, the impact factor has its ldquointrinsicrdquo limitations, it is a ranking measure based fundamentally on a pure counting of the in-degrees of nodes in the network, and its calculation does not take into account the ldquoimpactrdquo or ldquoprestigerdquo of the journals in which the citations appear. Googlepsilas PageRank algorithm and Kleinbergpsilas HITS method are webpage ranking algorithm, they compute the scores of webpages based on a combination of the number of hyperlinks that point to the page and the status of pages that the hyperlinks originate from, a page is important if it is pointed to by other important pages. We demonstrate how popular webpage algorithm PageRank and HITS can be used ranking journal, and we compared ISI impact factor, PageRank and HITS for journal ranking, and with PageRank and HITS compute respectively including self-citation and non self-citation, and discussed the merit and shortcomings and the scope of application that the various algorithms are used to rank journal.
    CSIE 2009, 2009 WRI World Congress on Computer Science and Information Engineering, March 31 - April 2, 2009, Los Angeles, California, USA, 7 Volumes; 01/2009
  • Source
    Yan Wang · Yishan Wu · Yuntao Pan · Zheng Ma · Ronald Rousseau ·
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    ABSTRACT: Summary A chronically weak area in research papers, reports, and reviews is the complete identification of background documents that formed the building blocks for these papers. A method for systematically determining these seminal references is presented. Citation-Assisted Background (CAB) is based on the assumption that seminal documents tend to be highly cited. CAB is being applied presently to three applications studies, and the results so far are much superior to those used by the first author for background development in any other study. An example of the application of CAB to the field of Nonlinear Dynamics is outlined. While CAB is a highly systematic approach for identifying seminal references, it is not a substitute for the judgement of the researchers, and serves as a supplement.
    Scientometrics 02/2005; 62(2):183-198. DOI:10.1007/s11192-005-0013-9 · 2.18 Impact Factor
  • Source
    Yishan Wu · Yuntao Pan · Yuhua Zhang · Zheng Ma · Jingan Pang · Hong Guo · Bo Xu · Zhiqing Yang ·
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    ABSTRACT: This paper traces the history of China Scientific and Technical Papers and Citations database (CSTPC) since its founding in 1988. The fact that most Chinese scientists publish their research results in Chinese journals requires that China establish SCI counterparts dedicated to domestic S & T journals. The article describes the selection criteria for source journals, the approach used to adjust the structure of source journals, the criteria for selecting items to be included in the database, and the indexing method. Then it discusses the impact upon government R & D administration agencies and the science community in general by both CSTPC team and CSTPC database. Finally, the article analyzes the main factors that lead to the primary success of CSTPD. The authors encourages information workers in other non-English developing countries to build up similar databases.
    Scientometrics 01/2004; 60(3):385-397. DOI:10.1023/B:SCIE.0000034381.64865.2b · 2.18 Impact Factor

Publication Stats

108 Citations
24.97 Total Impact Points


  • 2005-2014
    • Institute of Scientific and Technical Information of China
      Peping, Beijing, China