Shu Wang
Impact in
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- Geographic Information Systems Studies
- Environmental Engineering top 5%
- Microbial Fuel Cells and Bioremediation
Papers in
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- Geographic Information Systems Studies 17
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- Topic Modeling 13
- Semantic Web and Ontologies 11
- Natural Language Processing Techniques 8
- Advanced Graph Neural Networks 8
- Co-authors
- Nan LiLi LiuXin WangZi‐Gang HuangMing LiuLean ZhouYunqiang ZhuJingkun An
- Journals
- ISPRS International Journal of Geo-Information (7 papers)Transactions in GIS (7 papers)The Science of The Total Environment (6 papers)Expert Systems with Applications (3 papers)Remote Sensing (3 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Shu Wang
87 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 136
- Geography, Planning and Development 103
- Environmental Engineering 202
- Computer Vision and Pattern Recognition 207
- Geochemistry and Petrology 48
- Artificial Intelligence 264
Countries citing papers authored by Shu Wang
This map shows the geographic impact of Shu 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 Shu Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shu Wang more than expected).
Fields of papers citing papers by Shu Wang
This network shows the impact of papers produced by Shu 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 Shu Wang. The network helps show where Shu Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Shu 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 | 10 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 3 | |
| 5 | 2024 | 4 | |
| 6 | 2024 | 13 | |
| 7 | 2023 | 3 | |
| 8 | 2023 | 18 | |
| 9 | 2023 | 3 | |
| 10 | 2023 | 25 | |
| 11 | 2023 | 19 | |
| 12 | 2023 | 6 | |
| 13 | 2022 | 6 | |
| 14 | 2022 | 6 | |
| 15 | 2021 | 8 | |
| 16 | 2020 | 30 | |
| 17 | NEURON: An Interactive Natural Language Interface for Understanding Query Execution Plans in RDBMS. | 2018 | 1 |
| 18 | UTILIZATION OF INORGANIC CARBON IN PYROPIA HAITANENSIS(RHODOPHYTA) UNDER HEAT STRESS | 2013 | 5 |
| 19 | UKF and Its Application to Bearings-Only Tracking Problem | 2003 | 0 |
| 20 | AN EXPERT SYSTEM ABOUT RELATIONSHIP | 2003 | 1 |
About Shu Wang
Shu Wang is a scholar working on Geography, Planning and Development, Artificial Intelligence, Environmental Engineering, Signal Processing and General Social Sciences, having authored 103 papers that have together received 1.0k indexed citations. Recurring topics across this work include Geographic Information Systems Studies (17 papers), Topic Modeling (13 papers), Semantic Web and Ontologies (11 papers), Natural Language Processing Techniques (8 papers), Advanced Graph Neural Networks (8 papers), Context-Aware Activity Recognition Systems (7 papers), Microbial Fuel Cells and Bioremediation (7 papers) and Data Management and Algorithms (6 papers). The work is most often cited by research in Geography, Planning and Development (103 citations), Environmental Engineering (202 citations), Computer Vision and Pattern Recognition (207 citations), Geochemistry and Petrology (48 citations) and Artificial Intelligence (264 citations). Shu Wang has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Nan Li, Li Liu, Xin Wang, Zi‐Gang Huang, Ming Liu, Lean Zhou, Yunqiang Zhu, Jingkun An, Xueying Zhang and Peng Ye. Their work appears in journals such as ISPRS International Journal of Geo-Information, Transactions in GIS, The Science of The Total Environment, Expert Systems with Applications and Remote Sensing.
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.