Wei Ding

556 citations
75 papers · 398 · h-index 9

Impact in

Papers in

Wei Ding

66 papers receiving 372 citations

Peers

Wei Ding
Comparison fields: 5 of 62
  • Management Information Systems 73
  • Industrial and Manufacturing Engineering 66
  • Organizational Behavior and Human Resource Management 56
  • Software 23
  • Strategy and Management 76
Replace Naoshi Uchihira with:
Naoshi Uchihira Japan
Arvind Sathi United States
Chung-Chi Hsieh Taiwan
Edward Watson United States
Boon Ping Gan Singapore
Patrick G. McKeown United States
Rajendra Sonar India
Brenda L. Dietrich United States
Mary E. Helander United States
Roger M. Kerr Australia
Wei Ding relative to Naoshi Uchihira Japan Naoshi Uchihira's profile →
Citations per field
00.5×2×3×4.3×
Naoshi Uchihira · 1×
Citations per year

Countries citing papers authored by Wei Ding

Since Specialization
Citations

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

Fields of papers citing papers by Wei Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Wei Ding, 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 Wei Ding Line = papers co-authored together Wei Ding links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 75 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200875
2 201944
3 200827
4 200825
5 200423
6 200917
7 200516
8 201911
9 200910
10 20079
11 20137
12 20067
13 20185
14 20075
15 20115
16 20075
17 20085
18 20095
19 20254
20 20114

About Wei Ding

Wei Ding is a scholar working on Computational Theory and Mathematics, Computer Networks and Communications, Management Information Systems, Organizational Behavior and Human Resource Management and Industrial and Manufacturing Engineering, having authored 75 papers that have together received 398 indexed citations. Recurring topics across this work include Complexity and Algorithms in Graphs (15 papers), Advanced Graph Theory Research (14 papers), Facility Location and Emergency Management (13 papers), Business Process Modeling and Analysis (10 papers), Optimization and Search Problems (9 papers), Service-Oriented Architecture and Web Services (7 papers), Interconnection Networks and Systems (7 papers) and VLSI and FPGA Design Techniques (7 papers). The work is most often cited by research in Management Information Systems (73 citations), Industrial and Manufacturing Engineering (66 citations), Organizational Behavior and Human Resource Management (56 citations), Software (23 citations) and Strategy and Management (76 citations). Wei Ding has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Guoliang Xue, Baishakhi Ray, Ke Qiang Qiu, Feng Li, Xiaofeng He, Min Li, Xiao Xiao, Xuelong Li, Shipeng Li and Hao Zhang. Their work appears in journals such as Journal of Combinatorial Optimization, Theoretical Computer Science, Lecture notes in computer science, IBM Systems Journal and Real-Time Systems.

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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