Quan-Ke Pan

1.0k citations
40 papers · 763 · h-index 15

Impact in

Papers in

Quan-Ke Pan

37 papers receiving 742 citations

Peers

Quan-Ke Pan
Comparison fields: 5 of 71
  • Industrial and Manufacturing Engineering 626
  • Computer Networks and Communications 124
  • Control and Systems Engineering 92
  • Artificial Intelligence 117
  • Computer Vision and Pattern Recognition 47
Replace Tianhua Jiang with:
Tianhua Jiang China
Zixiao Pan China
Guanlong Deng China
Rong Hu China
Xiuping Guo China
Dipak Laha India
Luigi De Giovanni Italy
Mohammad Amin Adibi Iran
Alper Hamzadayı Türkiye
Sten Grüner Germany
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Citations per field
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Tianhua Jiang · 1×
Citations per year

Countries citing papers authored by Quan-Ke Pan

Since Specialization
Citations

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

Fields of papers citing papers by Quan-Ke Pan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Quan-Ke Pan. 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 Quan-Ke Pan. The network helps show where Quan-Ke Pan may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021105
2 202187
3 202280
4 202147
5 202246
6 202144
7 202240
8 202237
9 202436
10 202325
11 202324
12 202324
13 202321
14 202216
15 202414
16 202414
17 202413
18 202312
19 202310
20 202410

About Quan-Ke Pan

Quan-Ke Pan is a scholar working on Industrial and Manufacturing Engineering, Control and Systems Engineering, Computer Networks and Communications, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 40 papers that have together received 763 indexed citations. Recurring topics across this work include Advanced Manufacturing and Logistics Optimization (31 papers), Scheduling and Optimization Algorithms (31 papers), Assembly Line Balancing Optimization (18 papers), Optimization and Search Problems (5 papers), Advanced Control Systems Optimization (4 papers), Vehicle Routing Optimization Methods (3 papers), Metaheuristic Optimization Algorithms Research (3 papers) and Robotic Path Planning Algorithms (3 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (626 citations), Computer Networks and Communications (124 citations), Control and Systems Engineering (92 citations), Artificial Intelligence (117 citations) and Computer Vision and Pattern Recognition (47 citations). Quan-Ke Pan has collaborated with scholars based in China, Spain and Australia. Frequent co-authors include Liang Gao, Hongyan Sang, Yuyan Han, Yiping Liu, Junqing Li, Haoxiang Qin, Rubén Ruíz, Yuanzhen Li, Zhonghua Miao and Biao Zhang. Their work appears in journals such as Swarm and Evolutionary Computation, Computers & Industrial Engineering, Engineering Applications of Artificial Intelligence, Knowledge-Based Systems and Expert Systems with Applications.

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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