Dingming Wu
- Geography, Planning and Development top 0.1%
- Geographic Information Systems Studies 16
- Signal Processing top 0.5%
- Data Management and Algorithms 24
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- Advanced Database Systems and Queries 12
- Transportation top 2%
- Inorganic Chemistry top 5%
- Metal-Organic Frameworks: Synthesis and Applications 11
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- Recommender Systems and Techniques 7
- Data Mining Algorithms and Applications 6
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- Complex Network Analysis Techniques 7
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- Polyoxometalates: Synthesis and Applications 5
Dingming Wu
58 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 99
- Geography, Planning and Development 607
- Signal Processing 1.0k
- Computer Networks and Communications 634
- Transportation 167
- Inorganic Chemistry 313
Countries citing papers authored by Dingming Wu
This map shows the geographic impact of Dingming Wu'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 Dingming Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dingming Wu more than expected).
Fields of papers citing papers by Dingming Wu
This network shows the impact of papers produced by Dingming Wu. 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 Dingming Wu. The network helps show where Dingming Wu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Dingming Wu, 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 | 2024 | 4 | |
| 3 | 2024 | 2 | |
| 4 | 2023 | 7 | |
| 5 | 2023 | 2 | |
| 6 | 2020 | 11 | |
| 7 | 2019 | 4 | |
| 8 | 2019 | 34 | |
| 9 | 2016 | 2 | |
| 10 | Clustering in Geo-Social Networks | 2015 | 1 |
| 11 | 2015 | 144 | |
| 12 | 2015 | 7 | |
| 13 | 2014 | 18 | |
| 14 | Isolation and Crystal Structure of Gossampinus Xanthone | 2007 | 1 |
| 15 | 2006 | 45 | |
| 16 | 2006 | 20 | |
| 17 | 2003 | 88 | |
| 18 | 2001 | 5 | |
| 19 | 2001 | 1 | |
| 20 | 1996 | 2 |
About Dingming Wu
Dingming Wu is a scholar working on Geography, Planning and Development, Signal Processing and Inorganic Chemistry, having authored 60 papers that have together received 1.8k indexed citations. Recurring topics across this work include Data Management and Algorithms (24 papers), Geographic Information Systems Studies (16 papers), Advanced Database Systems and Queries (12 papers), Metal-Organic Frameworks: Synthesis and Applications (11 papers), Recommender Systems and Techniques (7 papers), Complex Network Analysis Techniques (7 papers), Data Mining Algorithms and Applications (6 papers) and Polyoxometalates: Synthesis and Applications (5 papers). The work is most often cited by research in Geography, Planning and Development (607 citations), Signal Processing (1.0k citations) and Computer Networks and Communications (634 citations). Dingming Wu has collaborated with scholars based in China, Hong Kong and Denmark. Frequent co-authors include Christian S. Jensen, Gao Cong, Man Lung Yiu, Lisi Chen, Can‐Zhong Lu, Jin Gu, Nikos Mamoulis, Dongfang Wang, Michael Q. Zhang and J. Y. Shi. Their work appears in journals such as IEEE Transactions on Knowledge and Data Engineering, Proceedings of the VLDB Endowment, Information Processing & Management, Polyhedron and Big Data Mining and Analytics.
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.