Jiewei Lu

822 citations
15 papers · 406 · h-index 8

Impact in

Papers in

Jiewei Lu

15 papers receiving 388 citations

Peers

Jiewei Lu
Comparison fields: 5 of 77
  • Ophthalmology 133
  • Radiology, Nuclear Medicine and Imaging 172
  • Computer Vision and Pattern Recognition 134
  • Artificial Intelligence 71
  • Environmental Engineering 30
Replace Tapabrata Chakraborti with:
Tapabrata Chakraborti United Kingdom
Mohammed Al-Rawi Portugal
Milind M. Mushrif India
Erdal Özbay Türkiye
Filipe Soares Portugal
G. Charlyn Pushpa Latha India
Sarah Mazhar China
Rohit M. Thanki India
Tiejun Yang China
Prabhpreet Kaur India
Jiewei Lu relative to Tapabrata Chakraborti United Kingdom Tapabrata Chakraborti's profile →
Citations per field
00.5×3.3×
Tapabrata Chakraborti · 1×
Citations per year

Countries citing papers authored by Jiewei Lu

Since Specialization
Citations

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

Fields of papers citing papers by Jiewei Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 201882
2 201880
3 200859
4 201753
5 202141
6 201127
7 201926
8 20199
9 20167
10
Automated Strabismus Detection based on Deep neural networks for Telemedicine Applications.
20186
11 20166
12 20224
13
Automated Blood Vessel Segmentation of Fundus Images Based on Region Features and Hierarchical Growth Algorithm.
20173
14 20152
15 20231

About Jiewei Lu

Jiewei Lu is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Ophthalmology, Pathology and Forensic Medicine and Artificial Intelligence, having authored 15 papers that have together received 406 indexed citations. Recurring topics across this work include Retinal Imaging and Analysis (8 papers), Digital Imaging for Blood Diseases (5 papers), Glaucoma and retinal disorders (4 papers), Advanced Clustering Algorithms Research (2 papers), Ophthalmology and Eye Disorders (2 papers), Optical measurement and interference techniques (1 paper), Medical Image Segmentation Techniques (1 paper) and Cutaneous Melanoma Detection and Management (1 paper). The work is most often cited by research in Ophthalmology (133 citations), Radiology, Nuclear Medicine and Imaging (172 citations), Computer Vision and Pattern Recognition (134 citations), Artificial Intelligence (71 citations) and Environmental Engineering (30 citations). Jiewei Lu has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Zhun Fan, Xinye Cai, Jingyu Yang, Erik D. Goodman, Maoguo Gong, Zhenmin Tang, Cai-Min Wei, Xinjian Chen, Han Huang and Wenji Li. Their work appears in journals such as Pattern Recognition Letters, Frontiers in Neurorobotics, Translational Vision Science & Technology, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing and IEEE Transactions on Image Processing.

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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