Genan Dai
Impact in
- Transportation top 5%
- Transportation Planning and Optimization
- Human Mobility and Location-Based Analysis
- Building and Construction top 5%
- Traffic Prediction and Management Techniques
Papers in
-
- Video Surveillance and Tracking Methods 5
-
- Sentiment Analysis and Opinion Mining 5
- Anomaly Detection Techniques and Applications 3
- Co-authors
- Yubao Liu (1 shared paper)Bowen Zhang (13 shared papers)Yubao Liu (5 shared papers)Xiaojiang Peng (6 shared papers)Xianghua Fu (4 shared papers)Cheng Peng (4 shared papers)Sen Zhang (1 shared paper)Bowen Zhang (2 shared papers)
In The Last Decade
Genan Dai
26 papers receiving 253 citations
Peers
Comparison fields: 5 of 45
- Transportation 114
- Building and Construction 174
- Signal Processing 61
- Control and Systems Engineering 69
- Artificial Intelligence 54
Countries citing papers authored by Genan Dai
This map shows the geographic impact of Genan Dai'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 Genan Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Genan Dai more than expected).
Fields of papers citing papers by Genan Dai
This network shows the impact of papers produced by Genan Dai. 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 Genan Dai. The network helps show where Genan Dai may publish in the future.
Co-authors
The 25 scholars most cited alongside Genan Dai, 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 180 | |
| 2 | 2021 | 13 | |
| 3 | 2022 | 7 | |
| 4 | 2025 | 5 | |
| 5 | 2024 | 4 | |
| 6 | 2024 | 4 | |
| 7 | 2024 | 4 | |
| 8 | 2018 | 4 | |
| 9 | 2021 | 3 | |
| 10 | 2019 | 3 | |
| 11 | 2024 | 2 | |
| 12 | 2024 | 2 | |
| 13 | 2025 | 2 | |
| 14 | 2024 | 2 | |
| 15 | 2024 | 2 | |
| 16 | 2021 | 2 | |
| 17 | 2019 | 2 | |
| 18 | 2019 | 2 | |
| 19 | 2018 | 2 | |
| 20 | 2019 | 2 |
About Genan Dai
Genan Dai is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Building and Construction, Transportation and Signal Processing, having authored 29 papers that have together received 254 indexed citations. Recurring topics across this work include Traffic Prediction and Management Techniques (9 papers), Data Management and Algorithms (5 papers), Sentiment Analysis and Opinion Mining (5 papers), Video Surveillance and Tracking Methods (5 papers), Human Mobility and Location-Based Analysis (4 papers), Traffic control and management (4 papers), Evacuation and Crowd Dynamics (3 papers) and Anomaly Detection Techniques and Applications (3 papers). The work is most often cited by research in Transportation (114 citations), Building and Construction (174 citations), Signal Processing (61 citations), Control and Systems Engineering (69 citations) and Artificial Intelligence (54 citations). Genan Dai has collaborated with scholars based in China, Australia and Hong Kong. Frequent co-authors include Yubao Liu, Bowen Zhang, Yubao Liu, Xiaojiang Peng, Xianghua Fu, Cheng Peng, Sen Zhang, Bowen Zhang, Ada Wai-Chee Fu and Wenjun Ma. Their work appears in journals such as Sensors, Frontiers of Computer Science, Information Fusion, Applied Intelligence and Pattern Recognition.
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.