Fangjun Luan

441 citations
45 papers · 320 · h-index 9

Impact in

Papers in

Fangjun Luan

41 papers receiving 310 citations

Peers

Fangjun Luan
Comparison fields: 5 of 56
  • Computer Vision and Pattern Recognition 109
  • Industrial and Manufacturing Engineering 43
  • Media Technology 35
  • Signal Processing 22
  • Artificial Intelligence 61
Replace Xiaolang Yan with:
Xiaolang Yan China
Zheng Shi China
Seung-Soo Han South Korea
Yunchuan Guo China
Ali Özer Ercan Türkiye
Jin Han China
Bjoern Almeroth Germany
Ines Riedel Germany
Duo Ding United States
Kanika Sharma India
Fangjun Luan relative to Xiaolang Yan China Xiaolang Yan's profile →
Citations per field
00.5×3.8×
Xiaolang Yan · 1×
Citations per year

Countries citing papers authored by Fangjun Luan

Since Specialization
Citations

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

Fields of papers citing papers by Fangjun Luan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201681
2 201630
3 201625
4 201615
5 201612
6 201412
7 202211
8 201310
9 20209
10 20157
11 20167
12 20167
13 20156
14 20176
15 20196
16 20156
17 20175
18 20195
19 20155
20 20215

About Fangjun Luan

Fangjun Luan is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Control and Systems Engineering, Industrial and Manufacturing Engineering and Media Technology, having authored 45 papers that have together received 320 indexed citations. Recurring topics across this work include Handwritten Text Recognition Techniques (10 papers), Scheduling and Optimization Algorithms (7 papers), Advanced Manufacturing and Logistics Optimization (5 papers), Advanced Control Systems Optimization (4 papers), Text and Document Classification Technologies (4 papers), Vehicle License Plate Recognition (4 papers), Natural Language Processing Techniques (4 papers) and Image Retrieval and Classification Techniques (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (109 citations), Industrial and Manufacturing Engineering (43 citations), Media Technology (35 citations), Signal Processing (22 citations) and Artificial Intelligence (61 citations). Fangjun Luan has collaborated with scholars based in China. Frequent co-authors include Xiaoyu Song, Liangliang Sun, Hong‐Nan Li, Guangyuan Si, Ke Xu, Yu Ying, Zhili Chen, Shuai Yuan, Chengdong Wu and Nan Hu. Their work appears in journals such as IEEE Access, International Journal of Circuit Theory and Applications, Journal of Combinatorial Optimization, Robotics and Autonomous Systems and The International Journal of Advanced Manufacturing Technology.

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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