Hao Li

10.5k citations
484 papers · 6.0k · h-index 37

Impact in

Papers in

Hao Li

432 papers receiving 5.8k citations

Peers

Hao Li
Comparison fields: 5 of 181
  • Media Technology 870
  • Computer Vision and Pattern Recognition 1.7k
  • Artificial Intelligence 1.7k
  • Computational Mathematics 25
  • Industrial and Manufacturing Engineering 345
Replace David M. Mount with:
David M. Mount United States
Nathan S. Netanyahu United States
Shengyong Chen China
S. Sathiya Keerthi India
Aristidis Likas Greece
E. Osuna United States
Bin Yu China
Marcello Pelillo Italy
Olivier Bousquet France
Adam Krzyżak Canada
Hao Li relative to David M. Mount United States David M. Mount's profile →
Citations per field
00.5×
David M. Mount · 1×
Citations per year

Countries citing papers authored by Hao Li

Since Specialization
Citations

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

Fields of papers citing papers by Hao Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 484 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020200
2 2014174
3 2018166
4 2018165
5 2015155
6 2019137
7 2019103
8 201593
9 201989
10 201685
11 201783
12 202079
13 201977
14 201876
15 202266
16 202066
17 202265
18 201463
19 202259
20 201359

About Hao Li

Hao Li is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Media Technology and Aerospace Engineering, having authored 484 papers that have together received 6.0k indexed citations. Recurring topics across this work include Remote-Sensing Image Classification (43 papers), Advanced Neural Network Applications (33 papers), Metaheuristic Optimization Algorithms Research (30 papers), Advanced Multi-Objective Optimization Algorithms (27 papers), Remote Sensing and Land Use (26 papers), Industrial Vision Systems and Defect Detection (19 papers), Indoor and Outdoor Localization Technologies (19 papers) and Advanced Image and Video Retrieval Techniques (18 papers). The work is most often cited by research in Media Technology (870 citations), Computer Vision and Pattern Recognition (1.7k citations), Artificial Intelligence (1.7k citations), Computational Mathematics (25 citations) and Industrial and Manufacturing Engineering (345 citations). Hao Li has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Maoguo Gong, Jia Liu, Xiangxiong Zhang, Hao F. Zhang, Zedong Tang, Yue Wu, Cheng Sun, Biqin Dong, Yue Zhang and Haoran Wei. Their work appears in journals such as IEEE Transactions on Evolutionary Computation, IEEE Transactions on Circuits and Systems for Video Technology, IEEE Transactions on Geoscience and Remote Sensing, Applied Soft Computing and Remote Sensing.

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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