Zongsheng Wang

1.0k citations
21 papers · 792 indexed · h-index 12
Topics
Topic Modeling (4 papers)ATP Synthase and ATPases Research (3 papers)Neurobiology and Insect Physiology Research (3 papers)

In The Last Decade

Zongsheng Wang

18 papers receiving 781 citations

Peers

Zongsheng Wang
Comparison fields: 5 of 83
  • Cellular and Molecular Neuroscience 512
  • Molecular Biology 374
  • Genetics 138
  • Ecology, Evolution, Behavior and Systematics 119
  • Plant Science 91
Replace Christos Consoulas with:
Christos Consoulas Greece
Yun Doo Chung South Korea
Andrés Garelli Argentina
John B. Connolly United Kingdom
Fengqiu Diao United States
Karen L Hibbard United States
Sibylle Wagner Germany
Jonathan C. Radford United Kingdom
David J. Sandstrom United States
Lily Kahsai Sweden
Zongsheng Wang relative to Christos Consoulas Greece Christos Consoulas's profile →
Citations per field
00.5×2.6×
Christos Consoulas · 1×
Citations per year

Countries citing papers authored by Zongsheng Wang

Since Specialization
Citations

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

Fields of papers citing papers by Zongsheng Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zongsheng Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Zongsheng Wang. A scholar is included among the top collaborators of Zongsheng Wang 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 Zongsheng Wang. Zongsheng Wang 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 0
2 5
3 11
4 4
5 1
6 0
7 13
8 12
9 0
10 2
11 2
12 19
13 67
14 78
15 38
16 151
17 150
18 126
19 11
20 101

About Zongsheng Wang

Zongsheng Wang is a scholar working on Computer Vision and Pattern Recognition, Cellular and Molecular Neuroscience and Geology, having authored 21 papers that have together received 792 indexed citations. Recurring topics across this work include Topic Modeling (4 papers), ATP Synthase and ATPases Research (3 papers) and Neurobiology and Insect Physiology Research (3 papers). The work is most often cited by research in Aging (69 citations), Cellular and Molecular Neuroscience (512 citations) and Endocrine and Autonomic Systems (61 citations). Zongsheng Wang has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Kim Kaiser, J. Douglas Armstrong, Susan C. P. Renn, Paul H. Taghert, J. Steven de Belle, Mingyao Yang, Julian A. T. Dow, Xin An, Mingyao Yang and Xin An. Their work appears in journals such as Journal of Biological Chemistry, Genetics and Human Molecular Genetics.

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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