Quan-Ke Pan

1.1k citations
39 papers · 805 · h-index 16

Impact in

Papers in

Quan-Ke Pan

37 papers receiving 797 citations

Peers

Quan-Ke Pan
Comparison fields: 5 of 61
  • Industrial and Manufacturing Engineering 662
  • Computer Networks and Communications 133
  • Control and Systems Engineering 94
  • Artificial Intelligence 116
  • Computer Vision and Pattern Recognition 50
Replace Guanlong Deng with:
Guanlong Deng China
ChengRan Lin China
G.M. Komaki Iran
Tianhua Jiang China
Houbin Song China
Rong Hu China
Zixiao Pan China
Christophe Wilbaut France
Fuh‐Der Chou Taiwan
Ali Fuat Alkaya Türkiye
Quan-Ke Pan relative to Guanlong Deng China Guanlong Deng's profile →
Citations per field
00.5×6.2×
Guanlong Deng · 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 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021107
2 202188
3 202287
4 202149
5 202248
6 202446
7 202144
8 202241
9 202241
10 202329
11 202324
12 202324
13 202321
14 202418
15 202217
16 202415
17 202415
18 202313
19 202412
20 202412

About Quan-Ke Pan

Quan-Ke Pan is a scholar working on Industrial and Manufacturing Engineering, Control and Systems Engineering, Computer Networks and Communications, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 39 papers that have together received 805 indexed citations. Recurring topics across this work include Scheduling and Optimization Algorithms (32 papers), Advanced Manufacturing and Logistics Optimization (32 papers), Assembly Line Balancing Optimization (18 papers), Optimization and Search Problems (5 papers), Advanced Control Systems Optimization (5 papers), Vehicle Routing Optimization Methods (3 papers), Robotic Path Planning Algorithms (3 papers) and Metaheuristic Optimization Algorithms Research (3 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (662 citations), Computer Networks and Communications (133 citations), Control and Systems Engineering (94 citations), Artificial Intelligence (116 citations) and Computer Vision and Pattern Recognition (50 citations). Quan-Ke Pan has collaborated with scholars based in China, Spain and Germany. Frequent co-authors include Liang Gao, Hongyan Sang, Yuyan Han, Yiping Liu, Junqing Li, Haoxiang Qin, Rubén Ruíz, Zhonghua Miao, Biao Zhang and Yuanzhen Li. Their work appears in journals such as Swarm and Evolutionary Computation, Computers & Industrial Engineering, Engineering Applications of Artificial Intelligence, European Journal of Operational Research and Knowledge-Based 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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