Jing Dai
- Artificial Intelligence
- Electrical and Electronic Engineering
- Computer Networks and Communications
- Signal Processing
- Transportation top 10%
- Co-authors
- Chang‐Tien LuMilind NaphadeSambit SahuFeng ChenBingsheng WangMark PodlaseckLiang ZhaoChao Tian
- Topics
- Data Management and Algorithms (6 papers)Human Mobility and Location-Based Analysis (5 papers)Peer-to-Peer Network Technologies (4 papers)
- Partner nations
- United StatesChinaHong Kong
In The Last Decade
Jing Dai
21 papers receiving 222 citations
Peers
Comparison fields: 5 of 64
- Artificial Intelligence 67
- Electrical and Electronic Engineering 42
- Computer Networks and Communications 42
- Signal Processing 42
- Transportation 41
Countries citing papers authored by Jing Dai
This map shows the geographic impact of Jing 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 Jing Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jing Dai more than expected).
Fields of papers citing papers by Jing Dai
This network shows the impact of papers produced by Jing 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 Jing Dai. The network helps show where Jing Dai may publish in the future.
Co-authorship network of co-authors of Jing Dai
This figure shows the co-authorship network connecting the top 25 collaborators of Jing Dai. A scholar is included among the top collaborators of Jing Dai 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 Jing Dai. Jing Dai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 0 | |
| 3 | 15 | |
| 4 | 10 | |
| 5 | 3 | |
| 6 | 1 | |
| 7 | 42 | |
| 8 | 2 | |
| 9 | 1 | |
| 10 | 50 | |
| 11 | 1 | |
| 12 | 22 | |
| 13 | 1 | |
| 14 | 52 | |
| 15 | 2 | |
| 16 | 2 | |
| 17 | 6 | |
| 18 | 3 | |
| 19 | 6 | |
| 20 | 9 |
About Jing Dai
Jing Dai is a scholar working on Transportation, Signal Processing and Geography, Planning and Development, having authored 22 papers that have together received 240 indexed citations. Recurring topics across this work include Data Management and Algorithms (6 papers), Human Mobility and Location-Based Analysis (5 papers) and Peer-to-Peer Network Technologies (4 papers). The work is most often cited by research in Transportation (41 citations), Signal Processing (42 citations) and Human-Computer Interaction (19 citations). Jing Dai has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Chang‐Tien Lu, Milind Naphade, Sambit Sahu, Feng Chen, Bingsheng Wang, Mark Podlaseck, Liang Zhao, Chao Tian, Thomas Erickson and Ting Hua. Their work appears in journals such as PLoS ONE, IEEE Transactions on Knowledge and Data Engineering and IEEE Transactions on Big Data.
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.