Hua Li

2.6k citations
154 papers · 1.6k · h-index 22

Impact in

    • Medical Image Segmentation Techniques
    • Advanced Neural Network Applications
    • Advanced Image and Video Retrieval Techniques
    • Visual Attention and Saliency Detection
  • Radiation top 5%
    • Advanced Radiotherapy Techniques

Papers in

Hua Li

134 papers receiving 1.5k citations

Peers

Hua Li
Comparison fields: 5 of 134
  • Computer Vision and Pattern Recognition 635
  • Radiation 141
  • Media Technology 128
  • Radiology, Nuclear Medicine and Imaging 279
  • Ocean Engineering 141
Replace Hongjun Wang with:
Hongjun Wang China
Per‐Erik Danielsson Sweden
Wentao Zhu China
Shifeng Chen China
Jun‐ichiro Toriwaki Japan
Chenyang Xu China
Jean‐Claude Nunes France
John D. Austin United States
Teng Li China
Robert Cromartie United States
Hua Li relative to Hongjun Wang China Hongjun Wang's profile →
Citations per field
00.5×1.5×2.2×
Hongjun Wang · 1×
Citations per year

Countries citing papers authored by Hua Li

Since Specialization
Citations

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

Fields of papers citing papers by Hua Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 154 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200893
2 200686
3 200882
4 201881
5 202081
6 201460
7 202057
8 201544
9 201142
10 201541
11 202336
12 202034
13 201933
14 202031
15 201730
16 200929
17 200627
18 201127
19 200624
20 202321

About Hua Li

Hua Li is a scholar working on Computer Vision and Pattern Recognition, Ocean Engineering, Mechanical Engineering, Media Technology and Signal Processing, having authored 154 papers that have together received 1.6k indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (14 papers), Advanced Vision and Imaging (13 papers), Hydraulic Fracturing and Reservoir Analysis (13 papers), Enhanced Oil Recovery Techniques (12 papers), Advanced Image Fusion Techniques (11 papers), Advanced Image and Video Retrieval Techniques (10 papers), Video Coding and Compression Technologies (10 papers) and Reservoir Engineering and Simulation Methods (9 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (635 citations), Radiation (141 citations), Media Technology (128 citations), Radiology, Nuclear Medicine and Imaging (279 citations) and Ocean Engineering (141 citations). Hua Li has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Anthony Yezzi, Daniel A. Low, Runmin Cong, Su Ruan, Pierre Véra, Laurent D. Cohen, Chunfeng Lian, Deshan Yang, Issam El Naqa and Joseph O. Deasy. Their work appears in journals such as Medical Physics, Petroleum Exploration and Development, Energies, IEEE Transactions on Multimedia and Journal of Physics D Applied Physics.

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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