Qiang Ding

632 total citations
45 papers, 359 citations indexed

About

Qiang Ding is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Qiang Ding has authored 45 papers receiving a total of 359 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Artificial Intelligence, 15 papers in Information Systems and 10 papers in Computer Vision and Pattern Recognition. Recurrent topics in Qiang Ding's work include Data Mining Algorithms and Applications (10 papers), Data Management and Algorithms (10 papers) and Topic Modeling (5 papers). Qiang Ding is often cited by papers focused on Data Mining Algorithms and Applications (10 papers), Data Management and Algorithms (10 papers) and Topic Modeling (5 papers). Qiang Ding collaborates with scholars based in China, United States and New Zealand. Qiang Ding's co-authors include William Perrizo, Qin Ding, Michèle E.M. Akoorie, Chunping Li, Dezhong Yao, Li Li, Lili Yang, Hai Jin, Yu Chen and Kathryn Pavlovich and has published in prestigious journals such as IEEE Access, IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics) and Information Fusion.

In The Last Decade

Qiang Ding

39 papers receiving 335 citations

Peers

Qiang Ding
Comparison fields: 5 of 84
  • Artificial Intelligence 148
  • Information Systems 119
  • Signal Processing 71
  • Computer Networks and Communications 47
  • Strategy and Management 47
Replace Hongmei Chen with:
Hongmei Chen China
Sujoy Bag India
Carlos Cobos Colombia
Edy Portmann Switzerland
Keivan Kianmehr Canada
Basilis Boutsinas Greece
Chin‐Hui Lai Taiwan
Tatiana Levashova Russia
Marie-Aude Aufaure France
Bouchra Frikh Morocco
Hongmei Chen China View profile →
Citations per field, relative to Qiang Ding
Qiang Ding · 1×
Citations per year, relative to Qiang Ding
Qiang Ding · 1×

Countries citing papers authored by Qiang Ding

Since Specialization
Citations

This map shows the geographic impact of Qiang 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 Qiang Ding with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qiang Ding more than expected).

Fields of papers citing papers by Qiang Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Qiang 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 Qiang Ding. The network helps show where Qiang Ding may publish in the future.

Co-authorship network of co-authors of Qiang Ding

This figure shows the co-authorship network connecting the top 25 collaborators of Qiang Ding. A scholar is included among the top collaborators of Qiang Ding based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Qiang Ding. Qiang Ding is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 1
3 5
4 5
5 1
6 4
7 0
8 4
9 27
10
Inter-Partner Interactions and Knowledge Transfer Mechanisms in the Chinese Automotive Industry: A Qualitative Research Based on Dual Managerial Perceptions
2
11 15
12 4
13 35
14 2
15
Multi-Layered Framework for Distributed Data Mining.
3
16 5
17 5
18
Cluster Analysis of Spatial Data Using Peano Count Tree.
0
19
Efficient Hierarchical Clustering of Large Data Sets Using P-trees.
4
20
On Mining Satellite and other Remotely Sensed Images.
9

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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