Chenchen Wu

462 citations
71 papers · 304 · h-index 9

Impact in

Papers in

Chenchen Wu

62 papers receiving 294 citations

Peers

Chenchen Wu
Comparison fields: 5 of 43
  • Industrial and Manufacturing Engineering 142
  • Organizational Behavior and Human Resource Management 130
  • Computer Graphics and Computer-Aided Design 22
  • Computer Networks and Communications 124
  • Computational Theory and Mathematics 75
Replace Nir Halman with:
Nir Halman Israel
Claudio Sodini Italy
Christian Raack Germany
H.-C. Wirth Germany
P. M. Dearing United States
Elisabeth Gassner Austria
Naoyuki Kamiyama Japan
Laurent Gourvès France
John Noga United States
Tjark Vredeveld Netherlands
Chenchen Wu relative to Nir Halman Israel Nir Halman's profile →
Citations per field
00.5×2×4×5.4×
Nir Halman · 1×
Citations per year

Countries citing papers authored by Chenchen Wu

Since Specialization
Citations

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

Fields of papers citing papers by Chenchen Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 71 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202031
2 201623
3 201818
4 201617
5 201512
6 202112
7 201711
8 201610
9 20179
10 20137
11 20207
12 20176
13 20186
14 20216
15 20245
16 20145
17 20115
18 20215
19 20155
20 20204

About Chenchen Wu

Chenchen Wu is a scholar working on Organizational Behavior and Human Resource Management, Industrial and Manufacturing Engineering, Computer Networks and Communications, Computational Theory and Mathematics and Artificial Intelligence, having authored 71 papers that have together received 304 indexed citations. Recurring topics across this work include Facility Location and Emergency Management (38 papers), Vehicle Routing Optimization Methods (33 papers), Optimization and Search Problems (27 papers), Complexity and Algorithms in Graphs (23 papers), Advanced Graph Theory Research (9 papers), Advanced Manufacturing and Logistics Optimization (6 papers), Computational Geometry and Mesh Generation (6 papers) and Data Management and Algorithms (4 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (142 citations), Organizational Behavior and Human Resource Management (130 citations), Computer Graphics and Computer-Aided Design (22 citations), Computer Networks and Communications (124 citations) and Computational Theory and Mathematics (75 citations). Chenchen Wu has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Dachuan Xu, Donglei Du, Xianzhao Zhang, Dongmei Zhang, Zhao Zhang, Zhen Wang, Jia Shu, Ding‐Zhu Du, Yue Kang and Lu Han. Their work appears in journals such as Journal of Combinatorial Optimization, Theoretical Computer Science, Journal of Global Optimization, Optimization Letters and Optimization.

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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