Feng Lu

7.2k citations
176 papers · 3.9k indexed · 3 hit papers · h-index 35

Feng Lu

158 papers receiving 3.8k citations

Hit Papers

Hybrid Biomimetic Membrane Coated Particles...862020202620222024100200300

Peers

Feng Lu
Comparison fields: 5 of 165
  • Human-Computer Interaction 1.2k
  • Urban Studies 418
  • Computer Vision and Pattern Recognition 1.3k
  • Computer Graphics and Computer-Aided Design 172
  • Ophthalmology 349
Replace Takahiro Okabe with:
Takahiro Okabe Japan
Xenophon Zabulis Greece
Jiquan Yang China
Ying Sun China
Wei Sun China
Jie Qin China
Whoi-Yul Kim South Korea
Chenxi Huang China
Zilei Wang China
Mu Zhou China
Feng Lu relative to Takahiro Okabe Japan Takahiro Okabe's profile →
Citations per field
00.5×8.1×
Takahiro Okabe · 1×
Citations per year

Countries citing papers authored by Feng Lu

Since Specialization
Citations

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

Fields of papers citing papers by Feng Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20254
2 20250
3 20243
4 20244
5 20240
6 20242
7 20243
8 20241
9 20243
10 202425
11 202220
12 20210
13 20215
14 202146
15
Understanding adversarial attacks on deep learning based medical image analysis systemsbreakdown →
2020304
16 201988
17
Attention-guided Low-light Image Enhancement.
201914
18 201818
19 201624
20 201479

About Feng Lu

Feng Lu is a scholar working on Human-Computer Interaction, Computer Graphics and Computer-Aided Design and Computer Vision and Pattern Recognition, having authored 176 papers that have together received 3.9k indexed citations. Recurring topics across this work include Gaze Tracking and Assistive Technology (40 papers), Advanced Vision and Imaging (18 papers), Hand Gesture Recognition Systems (14 papers), Image Enhancement Techniques (13 papers), Glaucoma and retinal disorders (12 papers), Advanced Computing and Algorithms (12 papers), Retinal Imaging and Analysis (11 papers) and Computer Graphics and Visualization Techniques (11 papers). The work is most often cited by research in Human-Computer Interaction (1.2k citations), Urban Studies (418 citations) and Computer Vision and Pattern Recognition (1.3k citations). Feng Lu has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Yoichi Sato, Yihua Cheng, Takahiro Okabe, Yusuke Sugano, Yu Li, Feifan Lv, Qing‐Xiao Tong, Haofei Wang, Yunfei Liu and Yiwei Bao. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Visualization and Computer Graphics, IEEE Transactions on Image Processing, IEEE Transactions on Multimedia and Journal of Materials Chemistry C.

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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