Dingming Wu

58 papers receiving 1.8k citations

Dingming Wu's Hit Papers

Efficient retrieval of the top-k most relevant spatial web objects 2009 · 383 citations
3830+5+11Years since publication100200300

Peers

Dingming Wu
Comparison fields: 5 of 99
  • Geography, Planning and Development 607
  • Signal Processing 1.0k
  • Computer Networks and Communications 634
  • Transportation 167
  • Inorganic Chemistry 313
Replace Steffen Koch with:
Steffen Koch Germany
Huanhuan Cao China
Martin Hepp Germany
Jing Tao China
Francisco Martínez Spain
Hanhua Chen China
Hieu T. Hoang Japan
Biao Qin China
Jie Hu United States
Yajun Du China
Dingming Wu relative to Steffen Koch Germany Steffen Koch's profile →
Citations per field
00.5×10×15×21.1×
Steffen Koch · 1×
Citations per year

Countries citing papers authored by Dingming Wu

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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.

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Efficient retrieval of the top-k most relevant spatial web objects
Hit paper breakdown →
2009383
2 2013218
3 2015144
4 2011108
5 2011106
6 201294
7 200388
8 200576
9 201457
10 200645
11 201638
12 200135
13 201934
14 201428
15 201425
16 201325
17 201724
18 200224
19 200620
20 201918

About Dingming Wu

Dingming Wu is a scholar working on Signal Processing, Computer Networks and Communications, Information Systems, Geography, Planning and Development 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), Complex Network Analysis Techniques (7 papers), Recommender Systems and Techniques (7 papers), Data Mining Algorithms and Applications (6 papers) and Magnetism in coordination complexes (5 papers). The work is most often cited by research in Geography, Planning and Development (607 citations), Signal Processing (1.0k citations), Computer Networks and Communications (634 citations), Transportation (167 citations) and Inorganic Chemistry (313 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, Michael Q. Zhang, Nikos Mamoulis, Dongfang Wang 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.

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