Nan Pan

781 citations
65 papers · 500 · h-index 12

Impact in

Papers in

Nan Pan

54 papers receiving 472 citations

Peers

Nan Pan
Comparison fields: 5 of 76
  • Computer Vision and Pattern Recognition 160
  • Industrial and Manufacturing Engineering 63
  • Control and Systems Engineering 107
  • Aerospace Engineering 93
  • Business and International Management 7
Replace Petr Stodola with:
Petr Stodola Czechia
Bruno N. Coelho Brazil
O. Motlagh Malaysia
Waqas Ahmed Pakistan
Ferrán Adelantado Spain
Justin Patton United States
Esra’a Alkafaween Jordan
Xiaofeng Liu China
Murad Khan South Korea
Tad Gonsalves Japan
Nan Pan relative to Petr Stodola Czechia Petr Stodola's profile →
Citations per field
00.5×1.5×2.3×
Petr Stodola · 1×
Citations per year

Countries citing papers authored by Nan Pan

Since Specialization
Citations

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

Fields of papers citing papers by Nan Pan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201966
2 202166
3 201730
4 202229
5 202229
6 202327
7 201826
8 202024
9 202022
10 202314
11 202413
12 202112
13 202311
14 202111
15 202111
16 20249
17 20239
18 20236
19 20176
20 20216

About Nan Pan

Nan Pan is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering, Computer Vision and Pattern Recognition, Industrial and Manufacturing Engineering and Aerospace Engineering, having authored 65 papers that have together received 500 indexed citations. Recurring topics across this work include UAV Applications and Optimization (10 papers), Advanced Algorithms and Applications (9 papers), Robotic Path Planning Algorithms (9 papers), Vehicle Routing Optimization Methods (9 papers), Machine Fault Diagnosis Techniques (7 papers), Blind Source Separation Techniques (7 papers), Advanced Manufacturing and Logistics Optimization (5 papers) and Fault Detection and Control Systems (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (160 citations), Industrial and Manufacturing Engineering (63 citations), Control and Systems Engineering (107 citations), Aerospace Engineering (93 citations) and Business and International Management (7 citations). Nan Pan has collaborated with scholars based in China, India and Hong Kong. Frequent co-authors include Haishi Liu, Yuxuan Sun, Yun Tan, Yu Guo, Jing Wu, Jiaohua Qin, Mingxian Liu, Xuyu Xiang, Xing Wu and Liyuan Sun. Their work appears in journals such as Journal of Intelligent & Fuzzy Systems, IEEE Access, IEEE Transactions on Industrial Informatics, Science Progress 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.

Explore authors with similar magnitude of impact