Jinhui Lan

530 citations
34 papers · 380 · h-index 12

Impact in

Papers in

Jinhui Lan

33 papers receiving 348 citations

Peers

Jinhui Lan
Comparison fields: 5 of 80
  • Computer Vision and Pattern Recognition 221
  • Media Technology 66
  • Automotive Engineering 68
  • Safety, Risk, Reliability and Quality 30
  • Building and Construction 41
Replace Suree Pumrin with:
Suree Pumrin Thailand
Faming Shao China
Roman Juránek Czechia
My-Ha Le Vietnam
Markéta Dubská Czechia
Todd N. Schoepflin United States
Bogdan Tomoyuki Nassu Brazil
Mirko Meuter Germany
Jinhui Lan relative to Suree Pumrin Thailand Suree Pumrin's profile →
Citations per field
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Suree Pumrin · 1×
Citations per year

Countries citing papers authored by Jinhui Lan

Since Specialization
Citations

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

Fields of papers citing papers by Jinhui Lan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside Jinhui Lan, 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 Jinhui Lan Line = papers co-authored together Jinhui Lan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201364
2 201051
3 201339
4 200932
5 201522
6 202218
7 202217
8 201516
9 202116
10 202314
11 201513
12
D-S evidence reasoning and its data fusion application in target recognition
200111
13 201410
14 20228
15 20176
16 20106
17 20235
18 20225
19 20235
20 20235

About Jinhui Lan

Jinhui Lan is a scholar working on Computer Vision and Pattern Recognition, Media Technology, Environmental Engineering, Aerospace Engineering and Automotive Engineering, having authored 34 papers that have together received 380 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (11 papers), Video Surveillance and Tracking Methods (11 papers), Remote Sensing and LiDAR Applications (6 papers), Advanced Image and Video Retrieval Techniques (6 papers), Robotics and Sensor-Based Localization (4 papers), Autonomous Vehicle Technology and Safety (4 papers), Remote-Sensing Image Classification (4 papers) and Image Processing and 3D Reconstruction (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (221 citations), Media Technology (66 citations), Automotive Engineering (68 citations), Safety, Risk, Reliability and Quality (30 citations) and Building and Construction (41 citations). Jinhui Lan has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Bin Ran, Liping Wang, Ling Wang, Yong Xiang, Guang‐Da Hu, Jian Li, Di Wang, Dongyang Yu, Shuai Chen and Haoting Liu. Their work appears in journals such as Remote Sensing, Optik, Symmetry, Scientific Reports and IEEE Geoscience and Remote Sensing Letters.

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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