Jiahao Ding
Impact in
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- Mobile Crowdsensing and Crowdsourcing
- Health Informatics top 10%
Papers in
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- Privacy-Preserving Technologies in Data 16
- Stochastic Gradient Optimization Techniques 4
- Cryptography and Data Security 2
- Adversarial Robustness in Machine Learning 2
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- Wireless Communication Security Techniques 2
- Co-authors
- Miao Pan (19 shared papers)Yuanxiong Guo (3 shared papers)Rong Yu (3 shared papers)Maoqiang Wu (3 shared papers)Dongdong Ye (1 shared paper)Xinyue Zhang (6 shared papers)Minglei Shu (2 shared papers)Xiaoqi Qin (1 shared paper)
- Journals
- IEEE Internet of Things Journal (3 papers)Frontiers in Neuroscience (2 papers)Tribology International (1 paper)Archives of Virology (1 paper)Applied Sciences (1 paper)
- Partner nations
- ChinaUnited StatesSouth Korea
In The Last Decade
Jiahao Ding
27 papers receiving 388 citations
Peers
Comparison fields: 5 of 55
- Computer Science Applications 68
- Health Informatics 12
- Artificial Intelligence 273
- Transportation 22
- Computer Networks and Communications 73
Countries citing papers authored by Jiahao Ding
This map shows the geographic impact of Jiahao Ding'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 Jiahao Ding with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jiahao Ding more than expected).
Fields of papers citing papers by Jiahao Ding
This network shows the impact of papers produced by Jiahao Ding. 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 Jiahao Ding. The network helps show where Jiahao Ding may publish in the future.
Co-authors
The 25 scholars most cited alongside Jiahao Ding, 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 100 | |
| 2 | 2022 | 59 | |
| 3 | 2019 | 35 | |
| 4 | 2021 | 26 | |
| 5 | 2020 | 25 | |
| 6 | 2021 | 23 | |
| 7 | 2021 | 14 | |
| 8 | 2019 | 13 | |
| 9 | 2018 | 10 | |
| 10 | 2020 | 9 | |
| 11 | 2023 | 9 | |
| 12 | 2022 | 8 | |
| 13 | 2020 | 8 | |
| 14 | 2024 | 8 | |
| 15 | 2019 | 7 | |
| 16 | 2023 | 6 | |
| 17 | 2021 | 5 | |
| 18 | 2025 | 4 | |
| 19 | 2021 | 4 | |
| 20 | 2022 | 3 |
About Jiahao Ding
Jiahao Ding is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering, Computer Science Applications, Computer Networks and Communications and Automotive Engineering, having authored 32 papers that have together received 389 indexed citations. Recurring topics across this work include Privacy-Preserving Technologies in Data (16 papers), Mobile Crowdsensing and Crowdsourcing (5 papers), Stochastic Gradient Optimization Techniques (4 papers), Wireless Communication Security Techniques (2 papers), Transportation and Mobility Innovations (2 papers), Cryptography and Data Security (2 papers), Adversarial Robustness in Machine Learning (2 papers) and Sparse and Compressive Sensing Techniques (2 papers). The work is most often cited by research in Computer Science Applications (68 citations), Health Informatics (12 citations), Artificial Intelligence (273 citations), Transportation (22 citations) and Computer Networks and Communications (73 citations). Jiahao Ding has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Miao Pan, Yuanxiong Guo, Rong Yu, Maoqiang Wu, Dongdong Ye, Xinyue Zhang, Minglei Shu, Xiaoqi Qin, Qimei Cui and Dian Shi. Their work appears in journals such as IEEE Internet of Things Journal, Frontiers in Neuroscience, Tribology International, Archives of Virology and Applied Sciences.
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.