Libiao Zhang

127 papers receiving 1.3k citations

Peers

Libiao Zhang
Comparison fields: 5 of 124
  • Developmental Biology 108
  • Ecology, Evolution, Behavior and Systematics 531
  • Ecological Modeling 106
  • Infectious Diseases 417
  • Ecology 384
Replace Meriadeg Ar Gouilh with:
Meriadeg Ar Gouilh France
Nickolay I. Hristov United States
David Taggart Australia
Graeme Coulson Australia
Oliver Krone Germany
Rexford D. Lord United States
Zhanshan Ma China
Jing Luo China
Carlos Navarro Spain
Jenő Reiczigel Hungary
Libiao Zhang relative to Meriadeg Ar Gouilh France Meriadeg Ar Gouilh's profile →
Citations per field
00.5×4.2×
Meriadeg Ar Gouilh · 1×
Citations per year

Countries citing papers authored by Libiao Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Libiao Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 136 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018101
2 200863
3 201763
4 201754
5 200951
6 200348
7 201540
8 201739
9 201837
10 200932
11 201930
12 202126
13 201626
14 202326
15 202025
16 201825
17 201824
18 200721
19 201321
20 200521

About Libiao Zhang

Libiao Zhang is a scholar working on Ecology, Evolution, Behavior and Systematics, Ecology, Infectious Diseases, Artificial Intelligence and Genetics, having authored 136 papers that have together received 1.4k indexed citations. Recurring topics across this work include Bat Biology and Ecology Studies (62 papers), Marine animal studies overview (19 papers), Animal Virus Infections Studies (11 papers), Viral Infections and Vectors (11 papers), Animal Ecology and Behavior Studies (10 papers), Evolution and Paleontology Studies (10 papers), Animal Vocal Communication and Behavior (9 papers) and Yersinia bacterium, plague, ectoparasites research (7 papers). The work is most often cited by research in Developmental Biology (108 citations), Ecology, Evolution, Behavior and Systematics (531 citations), Ecological Modeling (106 citations), Infectious Diseases (417 citations) and Ecology (384 citations). Libiao Zhang has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Shuyi Zhang, Guangjian Zhu, Gareth Jones, Zheng‐Li Shi, Xing‐Lou Yang, Yunzhi Zhang, Stephen J. Rossiter, Jinshuo Zhang, Yuefeng Li and Stuart Parsons. Their work appears in journals such as Acta Chiropterologica, Journal of Mammalogy, Journal of General Virology, PLoS ONE and Ecology and Evolution.

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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