Li Gao

47 papers receiving 309 citations

Peers

Li Gao
Comparison fields: 5 of 94
  • Developmental Biology 59
  • Ecology, Evolution, Behavior and Systematics 78
  • Ecology 61
  • Hardware and Architecture 17
  • Computer Networks and Communications 53
Replace Jeffrey S. Brush with:
Jeffrey S. Brush United States
Hiromitsu Awano Japan
Thomas Brandes Germany
Amal Punchihewa New Zealand
Camille Leroux France
Wonil Chang South Korea
William F. Kraus United States
Paweł Kułakowski Poland
Jau-Ling Shih Taiwan
Chunyi Chen China
Li Gao relative to Jeffrey S. Brush United States Jeffrey S. Brush's profile →
Citations per field
00.5×4.4×
Jeffrey S. Brush · 1×
Citations per year

Countries citing papers authored by Li Gao

Since Specialization
Citations

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

Fields of papers citing papers by Li Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201156
2 201233
3 200624
4 201618
5 202418
6 202116
7 202312
8 200712
9 201612
10 201511
11
On an adaptive harmony search algorithm
200910
12 20178
13 20237
14 20107
15 20245
16 20205
17 20085
18 20134
19 20114
20 20164

About Li Gao

Li Gao is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Information Systems, Artificial Intelligence and Computer Networks and Communications, having authored 54 papers that have together received 326 indexed citations. Recurring topics across this work include Speech and Audio Processing (10 papers), Hearing Loss and Rehabilitation (6 papers), Bat Biology and Ecology Studies (5 papers), Music and Audio Processing (4 papers), Marine animal studies overview (3 papers), Cloud Computing and Resource Management (3 papers), Data Mining Algorithms and Applications (3 papers) and Image and Signal Denoising Methods (3 papers). The work is most often cited by research in Developmental Biology (59 citations), Ecology, Evolution, Behavior and Systematics (78 citations), Ecology (61 citations), Hardware and Architecture (17 citations) and Computer Networks and Communications (53 citations). Li Gao has collaborated with scholars based in China, United States and Mexico. Frequent co-authors include Rolf Müller, Weikai He, Zhen Yan, Wanneng Shu, Lin Feng, Grzegorz Malewicz, Qian Zhang, Lefei Zhang, Chao-Wen Wang and Chun‐Sheng Jia. Their work appears in journals such as Fuel, The Journal of the Acoustical Society of America, Progress in Nuclear Energy, Physical Review Letters and Optics Express.

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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