Jiachen Mao
Impact in
- Computational Mathematics top 10%
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- Advanced Neural Network Applications
- Context-Aware Activity Recognition Systems
Papers in
-
- Advanced Neural Network Applications 9
- Context-Aware Activity Recognition Systems 2
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- Anomaly Detection Techniques and Applications 3
- Machine Learning and ELM 2
- Neural Networks and Applications 2
- Co-authors
- Yiran Chen (12 shared papers)Kent W. Nixon (7 shared papers)Xiang Chen (4 shared papers)Christopher D. Krieger (1 shared paper)Hai Li (7 shared papers)Wei Wen (3 shared papers)Huanrui Yang (2 shared papers)Chunpeng Wu (1 shared paper)
- Journals
- ACM Transactions on Cyber-Physical Systems (1 paper)ACM Transactions on Embedded Computing Systems (1 paper)Asia and South Pacific Design Automation Conference (1 paper)
- Partner nations
- United StatesChina
In The Last Decade
Jiachen Mao
13 papers receiving 391 citations
Peers
Comparison fields: 5 of 45
- Computational Mathematics 9
- Computer Vision and Pattern Recognition 243
- Computer Networks and Communications 203
- Artificial Intelligence 138
- Hardware and Architecture 26
Countries citing papers authored by Jiachen Mao
This map shows the geographic impact of Jiachen Mao'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 Jiachen Mao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jiachen Mao more than expected).
Fields of papers citing papers by Jiachen Mao
This network shows the impact of papers produced by Jiachen Mao. 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 Jiachen Mao. The network helps show where Jiachen Mao may publish in the future.
Co-authors
The 21 scholars most cited alongside Jiachen Mao, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 226 | |
| 2 | 2017 | 66 | |
| 3 | 2021 | 32 | |
| 4 | 2016 | 13 | |
| 5 | 2018 | 13 | |
| 6 | 2019 | 10 | |
| 7 | 2019 | 10 | |
| 8 | 2018 | 8 | |
| 9 | 2019 | 7 | |
| 10 | 2017 | 7 | |
| 11 | 2018 | 2 | |
| 12 | 2022 | 1 | |
| 13 | 2016 | 1 |
About Jiachen Mao
Jiachen Mao is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Electrical and Electronic Engineering, Computer Networks and Communications and Sociology and Political Science, having authored 13 papers that have together received 396 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (9 papers), Anomaly Detection Techniques and Applications (3 papers), Machine Learning and ELM (2 papers), Green IT and Sustainability (2 papers), IoT and Edge/Fog Computing (2 papers), Context-Aware Activity Recognition Systems (2 papers), Neural Networks and Applications (2 papers) and Multimedia Communication and Technology (2 papers). The work is most often cited by research in Computational Mathematics (9 citations), Computer Vision and Pattern Recognition (243 citations), Computer Networks and Communications (203 citations), Artificial Intelligence (138 citations) and Hardware and Architecture (26 citations). Jiachen Mao has collaborated with scholars based in United States and China. Frequent co-authors include Yiran Chen, Kent W. Nixon, Xiang Chen, Christopher D. Krieger, Hai Li, Wei Wen, Huanrui Yang, Chunpeng Wu, Linghao Song and Hai Li. Their work appears in journals such as ACM Transactions on Cyber-Physical Systems, ACM Transactions on Embedded Computing Systems and Asia and South Pacific Design Automation Conference.
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.