Zijian Wang
- Artificial Intelligence top 5%
- Domain Adaptation and Few-Shot Learning 7
- Topic Modeling 6
- Natural Language Processing Techniques 6
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- Advanced Neural Network Applications 6
- Advanced Image and Video Retrieval Techniques 6
- Video Surveillance and Tracking Methods 5
- Information Systems top 5%
- Recommender Systems and Techniques 5
- Pharmaceutical Science top 10%
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- Fungal Biology and Applications 4
- Cited by
- Artificial IntelligenceCivil and Structural EngineeringComputer Vision and Pattern Recognition
- Journals
- Nature Medicine (1 paper)SHILAP Revista de lepidopterología (1 paper)IEEE Transactions on Pattern Analysis and Machine Intelligence (2 papers)
- Partner nations
- ChinaAustraliaUnited States
In The Last Decade
Zijian Wang
87 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 157
- Artificial Intelligence 350
- Civil and Structural Engineering 232
- Computer Vision and Pattern Recognition 215
- Information Systems 223
- Pharmaceutical Science 46
Countries citing papers authored by Zijian Wang
This map shows the geographic impact of Zijian 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 Zijian Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zijian Wang more than expected).
Fields of papers citing papers by Zijian Wang
This network shows the impact of papers produced by Zijian 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 Zijian Wang. The network helps show where Zijian Wang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Zijian 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 | 2 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 7 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 1 | |
| 7 | 2024 | 4 | |
| 8 | 2024 | 1 | |
| 9 | 2024 | 1 | |
| 10 | 2023 | 17 | |
| 11 | 2023 | 22 | |
| 12 | 2023 | 2 | |
| 13 | 2022 | 16 | |
| 14 | 2021 | 6 | |
| 15 | 2020 | 3 | |
| 16 | 2020 | 1 | |
| 17 | 2016 | 2 | |
| 18 | 2016 | 5 | |
| 19 | 2016 | 7 | |
| 20 | 2012 | 139 |
About Zijian Wang
Zijian Wang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and General Engineering, having authored 105 papers that have together received 1.3k indexed citations. Recurring topics across this work include Domain Adaptation and Few-Shot Learning (7 papers), Topic Modeling (6 papers), Natural Language Processing Techniques (6 papers), Advanced Neural Network Applications (6 papers), Advanced Image and Video Retrieval Techniques (6 papers), Video Surveillance and Tracking Methods (5 papers), Recommender Systems and Techniques (5 papers) and Fungal Biology and Applications (4 papers). The work is most often cited by research in Artificial Intelligence (350 citations), Civil and Structural Engineering (232 citations) and Computer Vision and Pattern Recognition (215 citations). Zijian Wang has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Zi Huang, Ruihong Qiu, Hongzhi Yin, Baonan He, Yi Hong, David Maš́ın, C.W.W. Ng, L.Z. Wang, Huanbing Gao and Yadan Luo. Their work appears in journals such as Nature Medicine, SHILAP Revista de lepidopterología and IEEE Transactions on Pattern Analysis and Machine Intelligence.
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.