Nianbin Wang
Impact in
- Aquatic Science top 2%
- Echinoderm biology and ecology
- Aquatic life and conservation
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- Aquaculture disease management and microbiota
- Invertebrate Immune Response Mechanisms
Papers in
-
- Domain Adaptation and Few-Shot Learning 5
- Topic Modeling 5
- Natural Language Processing Techniques 4
- Advanced Text Analysis Techniques 4
- Text and Document Classification Technologies 3
- Co-authors
- Zunchun Zhou (4 shared papers)Huan Deng (2 shared papers)Chongbo He (1 shared paper)Bei Jiang (1 shared paper)Weidong Liu (1 shared paper)Xianggang Gao (1 shared paper)Chang Liu (1 shared paper)Shaobin Cai (6 shared papers)
In The Last Decade
Nianbin Wang
36 papers receiving 478 citations
Peers
Comparison fields: 5 of 88
- Aquatic Science 207
- Immunology 151
- Global and Planetary Change 78
- Pollution 37
- Parasitology 21
Countries citing papers authored by Nianbin Wang
This map shows the geographic impact of Nianbin 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 Nianbin Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nianbin Wang more than expected).
Fields of papers citing papers by Nianbin Wang
This network shows the impact of papers produced by Nianbin 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 Nianbin Wang. The network helps show where Nianbin Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Nianbin 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
Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 207 | |
| 2 | 2008 | 46 | |
| 3 | 2007 | 36 | |
| 4 | 2019 | 25 | |
| 5 | 2017 | 20 | |
| 6 | 2018 | 18 | |
| 7 | 2022 | 16 | |
| 8 | 2017 | 13 | |
| 9 | 2018 | 10 | |
| 10 | 2020 | 9 | |
| 11 | 2022 | 9 | |
| 12 | 2023 | 7 | |
| 13 | 2015 | 7 | |
| 14 | 2006 | 6 | |
| 15 | 2020 | 6 | |
| 16 | 2020 | 6 | |
| 17 | 2023 | 4 | |
| 18 | 2021 | 4 | |
| 19 | 2020 | 4 | |
| 20 | 2000 | 4 |
About Nianbin Wang
Nianbin Wang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Oceanography, Computational Theory and Mathematics and Computer Networks and Communications, having authored 39 papers that have together received 489 indexed citations. Recurring topics across this work include Domain Adaptation and Few-Shot Learning (5 papers), Topic Modeling (5 papers), Natural Language Processing Techniques (4 papers), Advanced Text Analysis Techniques (4 papers), Text and Document Classification Technologies (3 papers), Rough Sets and Fuzzy Logic (3 papers), Echinoderm biology and ecology (2 papers) and Mobile Crowdsensing and Crowdsourcing (2 papers). The work is most often cited by research in Aquatic Science (207 citations), Immunology (151 citations), Global and Planetary Change (78 citations), Pollution (37 citations) and Parasitology (21 citations). Nianbin Wang has collaborated with scholars based in China and India. Frequent co-authors include Zunchun Zhou, Huan Deng, Chongbo He, Bei Jiang, Weidong Liu, Xianggang Gao, Chang Liu, Shaobin Cai, Hongbin Wang and Guojun Yang. Their work appears in journals such as IEEE Access, Applied Intelligence, Environmental Toxicology and Chemistry, Engineering Applications of Artificial Intelligence and Computers, materials & continua/Computers, materials & continua (Print).
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.