Ying Ding

1.6k citations
43 papers · 1.1k indexed · h-index 20

Impact in

Papers in

Ying Ding

42 papers receiving 1.0k citations

Peers

Ying Ding
Comparison fields: 5 of 126
  • Statistics, Probability and Uncertainty 469
  • Information Systems and Management 141
  • Statistical and Nonlinear Physics 191
  • General Social Sciences 33
  • Information Systems 220
Replace Andrea Scharnhorst with:
Andrea Scharnhorst Netherlands
Andreas Strotmann Canada
Massimo Franceschet Italy
Raf Guns Belgium
Dangzhi Zhao Canada
Qing Ke China
Zhou Ping China
Andrew Tsou United States
Víctor Herrero-Solana Spain
Michel Zitt France
Ying Ding relative to Andrea Scharnhorst Netherlands Andrea Scharnhorst's profile →
Citations per field
00.5×1.6×
Andrea Scharnhorst · 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-authorship network

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
#Work
1 20250
2 20242
3 20242
4 20231
5 202232
6 202112
7 20211
8 202025
9 202047
10 20196
11 201832
12 20185
13 201740
14 201732
15 201711
16 201767
17 201619
18 201521
19 201410
20 201430

About Ying Ding

Ying Ding is a scholar working on Statistics, Probability and Uncertainty, Information Systems and Management, Statistical and Nonlinear Physics, Information Systems and General Social Sciences, 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), Advanced Text Analysis Techniques (5 papers), Web visibility and informetrics (5 papers), Scientific Computing and Data Management (5 papers), Interdisciplinary Research and Collaboration (4 papers), Image Enhancement Techniques (4 papers) and Academic Publishing and Open Access (3 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (469 citations), Information Systems and Management (141 citations), Statistical and Nonlinear Physics (191 citations), General Social Sciences (33 citations) and Information Systems (220 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, Dakota Murray, Baitong Chen and Satoshi Tsutsui. Their work appears in journals such as Journal of Informetrics, Journal of the Association for Information Science and Technology, Scientometrics, PLoS ONE and EMBO Reports.

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

Rankless by CCL
2026