Kun Ding
Impact in
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- scientometrics and bibliometrics research
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- Intellectual Property and Patents
Papers in
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- scientometrics and bibliometrics research 6
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- Intellectual Property and Patents 3
Kun Ding
35 papers receiving 585 citations
Peers
Comparison fields: 5 of 132
- Statistics, Probability and Uncertainty 84
- Management of Technology and Innovation 42
- Cancer Research 79
- General Social Sciences 13
- Information Systems and Management 26
Countries citing papers authored by Kun Ding
This map shows the geographic impact of Kun 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 Kun Ding with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kun Ding more than expected).
Fields of papers citing papers by Kun Ding
This network shows the impact of papers produced by Kun 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 Kun Ding. The network helps show where Kun Ding may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kun 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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 14 | |
| 3 | 2024 | 16 | |
| 4 | 2023 | 4 | |
| 5 | 2022 | 7 | |
| 6 | 2022 | 1 | |
| 7 | 2021 | 0 | |
| 8 | 2020 | 1 | |
| 9 | 2020 | 8 | |
| 10 | Identifying and tracking scientific and technological knowledge memes from citation networks of publications and patents. | 2017 | 1 |
| 11 | 2017 | 68 | |
| 12 | 2016 | 8 | |
| 13 | 2016 | 13 | |
| 14 | Patent content analysis method based on LDA topic model | 2015 | 2 |
| 15 | The Research of Paper Influence Based on Citation Context - A Case Study of the Nobel Prize Winner's Paper. | 2015 | 3 |
| 16 | 2015 | 7 | |
| 17 | 2015 | 19 | |
| 18 | 2014 | 102 | |
| 19 | 2014 | 40 | |
| 20 | Simulation model RSPM-1 for forecast and management of rice sheath blight. | 1991 | 1 |
About Kun Ding
Kun Ding is a scholar working on Statistics, Probability and Uncertainty, Management of Technology and Innovation, History and Philosophy of Science, Safety, Risk, Reliability and Quality and Sensory Systems, having authored 37 papers that have together received 602 indexed citations. Recurring topics across this work include scientometrics and bibliometrics research (6 papers), Intellectual Property and Patents (3 papers), Viral Infections and Vectors (3 papers), Computational Drug Discovery Methods (3 papers), Advanced Text Analysis Techniques (3 papers), Economic and Technological Innovation (2 papers), Web visibility and informetrics (2 papers) and Technology Assessment and Management (2 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (84 citations), Management of Technology and Innovation (42 citations), Cancer Research (79 citations), General Social Sciences (13 citations) and Information Systems and Management (26 citations). Kun Ding has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Zhiqiang Zou, Shengbo Liu, Bo Wang, Xinran Wang, Wenqing Li, Xiaoling Sun, Xianwen Wang, Di Liu, Jing Xu and Yuan Lin. Their work appears in journals such as Scientometrics, Water Air & Soil Pollution, BMC Infectious Diseases, Liver International and Oncology 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.