Heng Li

898 citations
65 papers · 618 indexed · h-index 15
Topics
Neuroscience and Neural Engineering (19 papers)Advanced Memory and Neural Computing (15 papers)Photoreceptor and optogenetics research (8 papers)
Journals
SHILAP Revista de lepidopterologíaScientific ReportsBrain Research
Partner nations
ChinaHong KongAustralia

In The Last Decade

Heng Li

59 papers receiving 606 citations

Peers

Heng Li
Comparison fields: 5 of 119
  • Cellular and Molecular Neuroscience 300
  • Electrical and Electronic Engineering 110
  • Molecular Biology 103
  • Cognitive Neuroscience 102
  • Computer Vision and Pattern Recognition 65
Replace Yichao Yu with:
Yichao Yu United States
Qihong Wang China
Makoto Osanai Japan
Shervin Rahimpour United States
Pierre-François D’Haese United States
Dušan Ristanović Serbia
Ben A. Duffy United States
Jaepyeong Cha United States
Julien Dauguet France
Eric E. Sabelman United States
Heng Li relative to Yichao Yu United States Yichao Yu's profile →
Citations per field
00.5×10×15×22×
Yichao Yu · 1×
Citations per year

Countries citing papers authored by Heng Li

Since Specialization
Citations

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

Fields of papers citing papers by Heng Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Heng Li

This figure shows the co-authorship network connecting the top 25 collaborators of Heng Li. A scholar is included among the top collaborators of Heng Li based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Heng Li. Heng Li is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 2
2 4
3 1
4 2
5 2
6 6
7 4
8 1
9 3
10 6
11 17
12 5
13 0
14 15
15 9
16 1
17 74
18 34
19 7
20 1

About Heng Li

Heng Li is a scholar working on Computational Mathematics, Cellular and Molecular Neuroscience and Cognitive Neuroscience, having authored 65 papers that have together received 618 indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (19 papers), Advanced Memory and Neural Computing (15 papers) and Photoreceptor and optogenetics research (8 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (300 citations), Developmental Neuroscience (31 citations) and Neurology (57 citations). Heng Li has collaborated with scholars based in China, Hong Kong and Australia. Frequent co-authors include Wutian Wu, Xinyu Chai, Liumin He, Xiaoli Wu, Tingting Han, Wen Li, Liming Li, Seeram Ramakrishna, WAI‐MAN WONG and Jing Wang. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and Brain Research.

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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