Baishi Wang
Impact in
- Environmental Engineering top 5%
- Microbial Fuel Cells and Bioremediation
- Electrochemistry top 10%
Papers in
-
- Animal Vocal Communication and Behavior 3
- Aging 1
- Co-authors
- Yunhai WangShaoan ChengQing‐Yun ChenAnthony D. SanchezMonica L. MindenZhenlong WangWei YanBin Pan
- Journals
- Tumor Biology (3 papers)International Journal of Hydrogen Energy (2 papers)Integrative Zoology (2 papers)Horticulture Research (2 papers)BMC Genomics (2 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Baishi Wang
36 papers receiving 575 citations
Peers
Comparison fields: 5 of 93
- Environmental Engineering 159
- Electrochemistry 39
- Developmental Biology 9
- Electrical and Electronic Engineering 237
- Pharmacology 60
Countries citing papers authored by Baishi Wang
This map shows the geographic impact of Baishi 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 Baishi Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Baishi Wang more than expected).
Fields of papers citing papers by Baishi Wang
This network shows the impact of papers produced by Baishi 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 Baishi Wang. The network helps show where Baishi Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Baishi Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2023 | 6 | |
| 4 | 2023 | 2 | |
| 5 | 2021 | 39 | |
| 6 | 2020 | 6 | |
| 7 | 2020 | 78 | |
| 8 | 2019 | 10 | |
| 9 | 2018 | 35 | |
| 10 | 2018 | 9 | |
| 11 | 2018 | 9 | |
| 12 | 2018 | 16 | |
| 13 | 2015 | 7 | |
| 14 | 2014 | 11 | |
| 15 | 2014 | 15 | |
| 16 | 2013 | 70 | |
| 17 | 2013 | 6 | |
| 18 | Social Structure of Wild Macaca mulatta in the Mt.Taihangshan Area, Jiyuan, China | 2011 | 4 |
| 19 | 2011 | 9 | |
| 20 | 2009 | 63 |
About Baishi Wang
Baishi Wang is a scholar working on Developmental Biology, Aging, Environmental Engineering, Ecology, Evolution, Behavior and Systematics and Toxicology, having authored 40 papers that have together received 595 indexed citations. Recurring topics across this work include Advanced Fiber Optic Sensors (8 papers), Animal Behavior and Reproduction (6 papers), Photonic Crystal and Fiber Optics (6 papers), Advanced Fiber Laser Technologies (5 papers), Microbial Fuel Cells and Bioremediation (5 papers), Primate Behavior and Ecology (5 papers), Animal Vocal Communication and Behavior (3 papers) and Melanoma and MAPK Pathways (3 papers). The work is most often cited by research in Environmental Engineering (159 citations), Electrochemistry (39 citations), Developmental Biology (9 citations), Electrical and Electronic Engineering (237 citations) and Pharmacology (60 citations). Baishi Wang has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Yunhai Wang, Shaoan Cheng, Qing‐Yun Chen, Anthony D. Sanchez, Monica L. Minden, Zhenlong Wang, Wei Yan, Bin Pan, Jiqi Lu and Shan Gao. Their work appears in journals such as Tumor Biology, International Journal of Hydrogen Energy, Integrative Zoology, Horticulture Research and BMC Genomics.
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.