Guoqing Wang

18 papers receiving 903 citations

Peers

Guoqing Wang
Comparison fields: 5 of 35
  • Industrial and Manufacturing Engineering 912
  • Computer Networks and Communications 375
  • Management Information Systems 73
  • Artificial Intelligence 41
  • Management Science and Operations Research 35
Replace Małgorzata Sterna with:
Małgorzata Sterna Poland
Wen-Hung Kuo Taiwan
Daniel Oron Australia
Irfan M. Ovacik United States
Ameur Soukhal France
Stanisław Gawiejnowicz Poland
Marie‐Claude Portmann France
Peng-Jen Lai Taiwan
A.M.A. Hariri United Kingdom
Baruch Mor Israel
Guoqing Wang relative to Małgorzata Sterna Poland Małgorzata Sterna's profile →
Citations per field
00.5×1.5×1.9×
Małgorzata Sterna · 1×
Citations per year

Countries citing papers authored by Guoqing Wang

Since Specialization
Citations

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

Fields of papers citing papers by Guoqing Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guoqing Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Guoqing Wang. A scholar is included among the top collaborators of Guoqing Wang 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 Guoqing Wang. Guoqing Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
#WorkIndexed citations
1 1
2 0
3 59
4 47
5 1
6 2
7
A heuristics algorithm for the replenishment operation problem in distribution center
1
8 57
9 51
10 53
11 23
12 273
13 167
14 10
15 65
16 52
17 8
18 32
19 37

About Guoqing Wang

Guoqing Wang is a scholar working on Industrial and Manufacturing Engineering, Computer Networks and Communications and Management Information Systems, having authored 19 papers that have together received 939 indexed citations. Recurring topics across this work include Scheduling and Optimization Algorithms (15 papers), Advanced Manufacturing and Logistics Optimization (13 papers) and Optimization and Search Problems (11 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (912 citations), Computer Networks and Communications (375 citations) and Management Information Systems (73 citations). Guoqing Wang has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include T.C.E. Cheng, Jatinder N.D. Gupta, Hongyi Sun, Jinwen Ou, Chengbin Chu, Chelliah Sriskandarajah, Zhengjun Zhai, Wang Lei, Xuzhi Li and Yusuo Lin. Their work appears in journals such as European Journal of Operational Research, IEEE Transactions on Robotics and Automation and Computers & Operations Research.

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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