Ding Pan
Impact in
- Automotive Engineering top 10%
- Advanced Battery Technologies Research
- Autonomous Vehicle Technology and Safety
Papers in
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- Semantic Web and Ontologies 8
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- Advanced Database Systems and Queries 9
- Co-authors
- Huiqin Li (3 shared papers)Xiaojuan Liu (1 shared paper)Oveis Abedinia (1 shared paper)Ke Zhang (1 shared paper)Zhihua Yuan (4 shared papers)Guoshun Liu (1 shared paper)Huilin Feng (1 shared paper)Tianbao Ren (1 shared paper)
In The Last Decade
Ding Pan
50 papers receiving 562 citations
Peers
Comparison fields: 5 of 86
- Automotive Engineering 122
- Energy Engineering and Power Technology 22
- Statistical and Nonlinear Physics 61
- Mechanical Engineering 176
- Renewable Energy, Sustainability and the Environment 66
Countries citing papers authored by Ding Pan
This map shows the geographic impact of Ding Pan'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 Ding Pan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ding Pan more than expected).
Fields of papers citing papers by Ding Pan
This network shows the impact of papers produced by Ding Pan. 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 Ding Pan. The network helps show where Ding Pan may publish in the future.
Co-authors
The 25 scholars most cited alongside Ding Pan, 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 60 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 115 | |
| 2 | 2021 | 62 | |
| 3 | 2019 | 58 | |
| 4 | 2020 | 43 | |
| 5 | 2020 | 41 | |
| 6 | 2014 | 31 | |
| 7 | 2018 | 19 | |
| 8 | 2010 | 17 | |
| 9 | 2015 | 16 | |
| 10 | 2020 | 14 | |
| 11 | 2006 | 13 | |
| 12 | 2020 | 12 | |
| 13 | 2025 | 12 | |
| 14 | 2018 | 11 | |
| 15 | 2020 | 9 | |
| 16 | 2022 | 9 | |
| 17 | 2010 | 9 | |
| 18 | 2005 | 7 | |
| 19 | 2019 | 7 | |
| 20 | 2023 | 7 |
About Ding Pan
Ding Pan is a scholar working on Artificial Intelligence, Computer Networks and Communications, Information Systems, Electrical and Electronic Engineering and Management Information Systems, having authored 60 papers that have together received 590 indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (9 papers), Semantic Web and Ontologies (8 papers), Data Mining Algorithms and Applications (7 papers), Financial Reporting and XBRL (5 papers), Advancements in Battery Materials (4 papers), Customer churn and segmentation (4 papers), Data Quality and Management (3 papers) and Big Data and Business Intelligence (3 papers). The work is most often cited by research in Automotive Engineering (122 citations), Energy Engineering and Power Technology (22 citations), Statistical and Nonlinear Physics (61 citations), Mechanical Engineering (176 citations) and Renewable Energy, Sustainability and the Environment (66 citations). Ding Pan has collaborated with scholars based in China, Iran and Australia. Frequent co-authors include Huiqin Li, Xiaojuan Liu, Oveis Abedinia, Ke Zhang, Zhihua Yuan, Guoshun Liu, Huilin Feng, Tianbao Ren, Huanhuan Wang and Xiaojuan Liu. Their work appears in journals such as SAE technical papers on CD-ROM/SAE technical paper series, Journal of Cleaner Production, Coordination Chemistry Reviews, Applied Soft Computing and IEEE Wireless Communications.
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.