Senzhang Wang
- Artificial Intelligence top 0.5%
- Building and Construction top 0.5%
- Transportation top 0.5%
- Information Systems top 1%
- Statistical and Nonlinear Physics top 1%
- Topics
- Advanced Graph Neural Networks (42 papers)Traffic Prediction and Management Techniques (35 papers)Complex Network Analysis Techniques (32 papers)
- Journals
- PLoS ONEIEEE Transactions on Pattern Analysis and Machine IntelligenceExpert Systems with Applications
- 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
- Artificial Intelligence 1.8k
- Building and Construction 1.2k
- Transportation 980
- Information Systems 702
- Statistical and Nonlinear Physics 548
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 of co-authors of Senzhang Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Senzhang Wang. A scholar is included among the top collaborators of Senzhang Wang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Senzhang Wang. Senzhang Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 14 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 20 | |
| 7 | 1 | |
| 8 | 6 | |
| 9 | 22 | |
| 10 | 17 | |
| 11 | 7 | |
| 12 | 21 | |
| 13 | 10 | |
| 14 | 30 | |
| 15 | 10 | |
| 16 | Spatial temporal incidence dynamic graph neural networks for traffic flow forecastingbreakdown → | 243 |
| 17 | Decode with Template: Content Preserving Sentiment Transfer | 3 |
| 18 | 124 | |
| 19 | Deep Irregular Convolutional Residual LSTM for Urban Traffic Passenger Flows Predictionbreakdown → | 225 |
| 20 | Negative influence minimizing by blocking nodes in social networks | 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) and Complex Network Analysis Techniques (32 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 PLoS ONE, IEEE Transactions on Pattern Analysis and Machine Intelligence and Expert Systems with Applications.
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.