Ying Ding

391 papers receiving 11.3k citations

Ying Ding's Hit Papers

CancerGPT for few shot drug pair synergy prediction using large pretrained language models 2024 · 68 citations
680+8+16Years since publication200400600

Peers

Ying Ding
Comparison fields: 5 of 228
  • Statistics, Probability and Uncertainty 1.5k
  • Health Informatics 171
  • Statistical and Nonlinear Physics 1.5k
  • Information Systems 2.4k
  • Artificial Intelligence 2.9k
Replace Chaomei Chen with:
Chaomei Chen United States
Kevin W. Boyack United States
Nees Jan van Eck Netherlands
Henry Small United States
Katy Börner United States
Judit Bar‐Ilan Israel
Dashun Wang United States
Richard Klavans United States
Cassidy R. Sugimoto United States
Lyle Ungar United States
Ying Ding relative to Chaomei Chen United States Chaomei Chen's profile →
Citations per field
00.5×1.5×
Chaomei Chen · 1×
Citations per year

Countries citing papers authored by Ying Ding

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Ying Ding Line = papers co-authored together Ying Ding links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 426 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Bibliometric cartography of information retrieval research by using co-word analysis
Hit paper breakdown →
2001713
2
Measuring Scholarly Impact
Hit paper breakdown →
2014583
3 2010335
4 2009313
5 2009305
6 2014300
7 2010257
8 2012211
9 2023207
10 2010185
11 2002159
12 2009158
13 2009155
14 2011152
15 2013151
16 2016143
17 2010141
18 2001138
19 2020130
20 2010128

About Ying Ding

Ying Ding is a scholar working on Artificial Intelligence, Information Systems, Statistical and Nonlinear Physics, Electrical and Electronic Engineering and Statistics, Probability and Uncertainty, having authored 426 papers that have together received 11.8k indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (49 papers), scientometrics and bibliometrics research (47 papers), Semantic Web and Ontologies (43 papers), Topic Modeling (30 papers), Biomedical Text Mining and Ontologies (29 papers), Advanced Text Analysis Techniques (28 papers), Service-Oriented Architecture and Web Services (25 papers) and Web visibility and informetrics (20 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (1.5k citations), Health Informatics (171 citations), Statistical and Nonlinear Physics (1.5k citations), Information Systems (2.4k citations) and Artificial Intelligence (2.9k citations). Ying Ding has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Erjia Yan, Schubert Foo, Dietmar Wolfram, Ronald Rousseau, Gobinda Chowdhury, Blaise Cronin, David Wild, Dieter Fensel, Cassidy R. Sugimoto and Staša Milojević. Their work appears in journals such as Journal of Informetrics, Journal of the Association for Information Science and Technology, Scientometrics, Information Processing & Management and Journal of Information Science.

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.

Explore authors with similar magnitude of impact