Daniel Zhang
Impact in
- Computer Science Applications top 0.5%
- Mobile Crowdsensing and Crowdsourcing
- Transportation top 2%
- Human Mobility and Location-Based Analysis
Papers in ⓘ
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- Mobile Crowdsensing and Crowdsourcing 38
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- Privacy-Preserving Technologies in Data 9
- Anomaly Detection Techniques and Applications 7
- Co-authors
- Dong Wang (54 shared papers)Yang Zhang (19 shared papers)Liang Zhou (1 shared paper)Md Tahmid Rashid (16 shared papers)Nathan Vance (14 shared papers)Lanyu Shang (11 shared papers)Ziyi Kou (5 shared papers)Yang Zhang (6 shared papers)
- Journals
- IEEE Transactions on Big Data (3 papers)Pervasive and Mobile Computing (2 papers)Knowledge-Based Systems (1 paper)Proceedings of the ACM on Human-Computer Interaction (1 paper)Social Network Analysis and Mining (1 paper)
- Partner nations
- United StatesSingaporeUnited Kingdom
In The Last Decade
Daniel Zhang
68 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 94
- Computer Science Applications 530
- Transportation 229
- Artificial Intelligence 560
- Computer Networks and Communications 319
- Health Informatics 16
Countries citing papers authored by Daniel Zhang
This map shows the geographic impact of Daniel Zhang'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 Daniel Zhang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Zhang more than expected).
Fields of papers citing papers by Daniel Zhang
This network shows the impact of papers produced by Daniel Zhang. 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 Daniel Zhang. The network helps show where Daniel Zhang may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Zhang, 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 70 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 138 | |
| 2 | 2018 | 67 | |
| 3 | 2016 | 64 | |
| 4 | 2019 | 56 | |
| 5 | 2017 | 49 | |
| 6 | 2018 | 47 | |
| 7 | 2020 | 47 | |
| 8 | 2018 | 46 | |
| 9 | 2020 | 44 | |
| 10 | 2020 | 43 | |
| 11 | 2018 | 43 | |
| 12 | 2021 | 39 | |
| 13 | 2017 | 37 | |
| 14 | 2018 | 35 | |
| 15 | 2019 | 31 | |
| 16 | 2019 | 31 | |
| 17 | 2019 | 29 | |
| 18 | 2017 | 28 | |
| 19 | 2019 | 27 | |
| 20 | 2020 | 26 |
About Daniel Zhang
Daniel Zhang is a scholar working on Computer Science Applications, Artificial Intelligence, Computer Networks and Communications, Computer Vision and Pattern Recognition and Transportation, having authored 70 papers that have together received 1.4k indexed citations. Recurring topics across this work include Mobile Crowdsensing and Crowdsourcing (38 papers), IoT and Edge/Fog Computing (15 papers), Human Mobility and Location-Based Analysis (14 papers), Privacy-Preserving Technologies in Data (9 papers), Evacuation and Crowd Dynamics (9 papers), Anomaly Detection Techniques and Applications (7 papers), Misinformation and Its Impacts (7 papers) and Spam and Phishing Detection (5 papers). The work is most often cited by research in Computer Science Applications (530 citations), Transportation (229 citations), Artificial Intelligence (560 citations), Computer Networks and Communications (319 citations) and Health Informatics (16 citations). Daniel Zhang has collaborated with scholars based in United States, Singapore and United Kingdom. Frequent co-authors include Dong Wang, Yang Zhang, Liang Zhou, Md Tahmid Rashid, Nathan Vance, Lanyu Shang, Ziyi Kou, Yang Zhang, Yue Ma and Xiaobo Sharon Hu. Their work appears in journals such as IEEE Transactions on Big Data, Pervasive and Mobile Computing, Knowledge-Based Systems, Proceedings of the ACM on Human-Computer Interaction and Social Network Analysis and Mining.
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.