Senzhang Wang
- Transportation top 0.5%
- Human Mobility and Location-Based Analysis 24
- Building and Construction top 0.5%
- Traffic Prediction and Management Techniques 35
- Artificial Intelligence top 0.5%
- Advanced Graph Neural Networks 42
- Topic Modeling 20
- Advanced Text Analysis Techniques 11
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- Complex Network Analysis Techniques 32
- Signal Processing top 2%
- Time Series Analysis and Forecasting 13
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- Recommender Systems and Techniques 30
- Journals
- IEEE Transactions on Knowledge and Data Engineering (14 papers)Knowledge and Information Systems (7 papers)Knowledge-Based Systems (6 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Senzhang Wang
146 papers receiving 4.0k citations
Hit Papers
Peers
Comparison fields: 5 of 127
- Transportation 980
- Building and Construction 1.2k
- Artificial Intelligence 1.8k
- Statistical and Nonlinear Physics 548
- Signal Processing 453
Countries citing papers authored by Senzhang Wang
This map shows the geographic impact of Senzhang 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 Senzhang Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Senzhang Wang more than expected).
Fields of papers citing papers by Senzhang Wang
This network shows the impact of papers produced by Senzhang 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 Senzhang Wang. The network helps show where Senzhang Wang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Senzhang 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 | 14 | |
| 3 | 2025 | 1 | |
| 4 | 2025 | 1 | |
| 5 | 2025 | 0 | |
| 6 | 2024 | 20 | |
| 7 | 2024 | 1 | |
| 8 | 2024 | 6 | |
| 9 | 2024 | 22 | |
| 10 | 2024 | 17 | |
| 11 | 2023 | 7 | |
| 12 | 2023 | 21 | |
| 13 | 2023 | 10 | |
| 14 | 2022 | 30 | |
| 15 | 2021 | 10 | |
| 16 | Spatial temporal incidence dynamic graph neural networks for traffic flow forecastingbreakdown → | 2020 | 243 |
| 17 | Decode with Template: Content Preserving Sentiment Transfer | 2020 | 3 |
| 18 | 2019 | 124 | |
| 19 | Deep Irregular Convolutional Residual LSTM for Urban Traffic Passenger Flows Predictionbreakdown → | 2019 | 225 |
| 20 | Negative influence minimizing by blocking nodes in social networks | 2013 | 23 |
About Senzhang Wang
Senzhang Wang is a scholar working on Transportation, Building and Construction and Statistical and Nonlinear Physics, having authored 157 papers that have together received 4.1k indexed citations. Recurring topics across this work include Advanced Graph Neural Networks (42 papers), Traffic Prediction and Management Techniques (35 papers), Complex Network Analysis Techniques (32 papers), Recommender Systems and Techniques (30 papers), Human Mobility and Location-Based Analysis (24 papers), Topic Modeling (20 papers), Time Series Analysis and Forecasting (13 papers) and Advanced Text Analysis Techniques (11 papers). The work is most often cited by research in Transportation (980 citations), Building and Construction (1.2k citations) and Artificial Intelligence (1.8k citations). Senzhang Wang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Philip S. Yu, Jiannong Cao, Zhoujun Li, Hao Peng, Zhiqiu Huang, Lifang He, Bowen Du, Hao Miao, Lihong Wang and Xiaoming Zhang. Their work appears in journals such as IEEE Transactions on Knowledge and Data Engineering, Knowledge and Information Systems, Knowledge-Based Systems, IEEE Transactions on Intelligent Transportation Systems and World Wide Web.
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.