Mao Yang
- Immunology top 5%
- Software top 5%
- Hardware and Architecture top 5%
- Parallel Computing and Optimization Techniques 13
-
- Distributed systems and fault tolerance 8
- Software System Performance and Reliability 7
- Physiology top 5%
-
- Advanced Neural Network Applications 14
-
- Cloud Computing and Resource Management 14
-
- Machine Learning and Data Classification 6
-
- Autophagy in Disease and Therapy 5
-
- Advanced Memory and Neural Computing 4
- Co-authors
- Douglas R. GreenCliff GuyClifford S. GuyPatrick FitzgeraldYi‐Nan GongAndreas LinkermannHannes OlausonJan U. Becker
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Mao Yang
78 papers receiving 3.2k citations
Hit Papers
Peers
Comparison fields: 5 of 162
- Immunology 736
- Software 89
- Hardware and Architecture 155
- Computer Networks and Communications 499
- Physiology 97
Countries citing papers authored by Mao Yang
This map shows the geographic impact of Mao Yang'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 Mao Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mao Yang more than expected).
Fields of papers citing papers by Mao Yang
This network shows the impact of papers produced by Mao Yang. 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 Mao Yang. The network helps show where Mao Yang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Mao Yang, 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 | 2025 | 0 | |
| 2 | 2025 | 3 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 0 | |
| 5 | 2025 | 0 | |
| 6 | 2024 | 6 | |
| 7 | 2024 | 4 | |
| 8 | 2024 | 7 | |
| 9 | 2024 | 8 | |
| 10 | 2024 | 5 | |
| 11 | 2024 | 0 | |
| 12 | 2024 | 10 | |
| 13 | 2023 | 41 | |
| 14 | 2023 | 9 | |
| 15 | 2023 | 4 | |
| 16 | 2023 | 0 | |
| 17 | 2023 | 10 | |
| 18 | 2022 | 5 | |
| 19 | 2022 | 18 | |
| 20 | Microscopic observation of Stylosanthese infected by Colletotrichum gloeosporioides | 2015 | 1 |
About Mao Yang
Mao Yang is a scholar working on Computational Mathematics, Hardware and Architecture, Computer Networks and Communications, Computer Vision and Pattern Recognition and Information Systems, having authored 90 papers that have together received 3.3k indexed citations. Recurring topics across this work include Advanced Neural Network Applications (14 papers), Cloud Computing and Resource Management (14 papers), Parallel Computing and Optimization Techniques (13 papers), Distributed systems and fault tolerance (8 papers), Software System Performance and Reliability (7 papers), Machine Learning and Data Classification (6 papers), Autophagy in Disease and Therapy (5 papers) and Advanced Memory and Neural Computing (4 papers). The work is most often cited by research in Immunology (736 citations), Software (89 citations), Hardware and Architecture (155 citations), Computer Networks and Communications (499 citations) and Physiology (97 citations). Mao Yang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Douglas R. Green, Cliff Guy, Clifford S. Guy, Patrick Fitzgerald, Yi‐Nan Gong, Andreas Linkermann, Hannes Olauson, Jan U. Becker, Lidong Zhou and Haoxiang Lin. Their work appears in journals such as Cell, Cell Death and Differentiation, Scientific Reports, Journal of Cellular and Molecular Medicine and PLoS ONE.
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.