Ying Ding
Impact in
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- scientometrics and bibliometrics research
Papers in
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- scientometrics and bibliometrics research 29
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- Scientific Computing and Data Management 5
- Interdisciplinary Research and Collaboration 4
- Academic Publishing and Open Access 3
- Co-authors
- Min Song (4 shared papers)Yi Bu (12 shared papers)Yoo Kyung Jeong (1 shared paper)Schubert Foo (4 shared papers)Gobinda Chowdhury (4 shared papers)Jian Xu (8 shared papers)Feicheng Ma (1 shared paper)Baitong Chen (1 shared paper)
- Journals
- Journal of Informetrics (7 papers)Journal of the Association for Information Science and Technology (6 papers)Scientometrics (5 papers)Creativity Research Journal (1 paper)PLoS ONE (1 paper)
- Partner nations
- ChinaUnited StatesSouth Korea
In The Last Decade
Ying Ding
42 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 120
- Statistics, Probability and Uncertainty 464
- Information Systems and Management 140
- Statistical and Nonlinear Physics 191
- General Social Sciences 33
- Information Systems 221
Countries citing papers authored by Ying Ding
This map shows the geographic impact of Ying Ding's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Ying Ding with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ying Ding more than expected).
Fields of papers citing papers by Ying Ding
This network shows the impact of papers produced by Ying Ding. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Ying Ding. The network helps show where Ying Ding may publish in the future.
Co-authors
The 25 scholars most cited alongside Ying Ding, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 160 | |
| 2 | 2017 | 83 | |
| 3 | 1999 | 68 | |
| 4 | 2017 | 67 | |
| 5 | 2017 | 50 | |
| 6 | 2020 | 49 | |
| 7 | 2018 | 43 | |
| 8 | 2017 | 40 | |
| 9 | 1998 | 39 | |
| 10 | 2017 | 33 | |
| 11 | 2014 | 33 | |
| 12 | 2017 | 33 | |
| 13 | 2022 | 32 | |
| 14 | 2018 | 31 | |
| 15 | 2000 | 31 | |
| 16 | 2014 | 30 | |
| 17 | 2020 | 26 | |
| 18 | 2013 | 24 | |
| 19 | 2015 | 23 | |
| 20 | 2015 | 21 |
About Ying Ding
Ying Ding is a scholar working on Statistics, Probability and Uncertainty, Information Systems and Management, Information Systems, Statistical and Nonlinear Physics and Artificial Intelligence, having authored 43 papers that have together received 1.1k indexed citations. Recurring topics across this work include scientometrics and bibliometrics research (29 papers), Complex Network Analysis Techniques (6 papers), Web visibility and informetrics (5 papers), Advanced Text Analysis Techniques (5 papers), Scientific Computing and Data Management (5 papers), Image Enhancement Techniques (4 papers), Interdisciplinary Research and Collaboration (4 papers) and Academic Publishing and Open Access (3 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (464 citations), Information Systems and Management (140 citations), Statistical and Nonlinear Physics (191 citations), General Social Sciences (33 citations) and Information Systems (221 citations). Ying Ding has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Min Song, Yi Bu, Yoo Kyung Jeong, Schubert Foo, Gobinda Chowdhury, Jian Xu, Feicheng Ma, Baitong Chen, Satoshi Tsutsui and Dakota Murray. Their work appears in journals such as Journal of Informetrics, Journal of the Association for Information Science and Technology, Scientometrics, Creativity Research Journal and PLoS ONE.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.