Jiachen Mao
- Computer Vision and Pattern Recognition top 5%
- Computer Networks and Communications top 5%
- Electrical and Electronic Engineering
- Artificial Intelligence top 10%
- Hardware and Architecture
- Co-authors
- Yiran ChenKent W. NixonXiang ChenChristopher D. KriegerHai LiWei WenChunpeng WuLinghao Song
- Topics
- Advanced Neural Network Applications (9 papers)Anomaly Detection Techniques and Applications (3 papers)IoT and Edge/Fog Computing (2 papers)
- Cited by
- Computational MathematicsComputer Vision and Pattern RecognitionComputer Networks and Communications
- Journals
- ACM Transactions on Embedded Computing SystemsACM Transactions on Cyber-Physical SystemsAsia and South Pacific Design Automation Conference
- Partner nations
- United StatesChina
In The Last Decade
Jiachen Mao
13 papers receiving 368 citations
Peers
Comparison fields: 5 of 42
- Computer Vision and Pattern Recognition 229
- Computer Networks and Communications 192
- Electrical and Electronic Engineering 141
- Artificial Intelligence 133
- Hardware and Architecture 25
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-authorship network of co-authors of Jiachen Mao
This figure shows the co-authorship network connecting the top 25 collaborators of Jiachen Mao. A scholar is included among the top collaborators of Jiachen Mao 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 Jiachen Mao. Jiachen Mao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 28 | |
| 3 | 9 | |
| 4 | 10 | |
| 5 | 7 | |
| 6 | 8 | |
| 7 | 13 | |
| 8 | 2 | |
| 9 | 211 | |
| 10 | 63 | |
| 11 | 7 | |
| 12 | 13 | |
| 13 | 1 |
About Jiachen Mao
Jiachen Mao is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Networks and Communications, having authored 13 papers that have together received 373 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (9 papers), Anomaly Detection Techniques and Applications (3 papers) and IoT and Edge/Fog Computing (2 papers). The work is most often cited by research in Computational Mathematics (9 citations), Computer Vision and Pattern Recognition (229 citations) and Computer Networks and Communications (192 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, Chunpeng Wu, Linghao Song, Huanrui Yang and Ang Li. Their work appears in journals such as ACM Transactions on Embedded Computing Systems, ACM Transactions on Cyber-Physical 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.