Mohan Li
- Signal Processing top 5%
- Music and Audio Processing 6
- Information Systems top 5%
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- Network Security and Intrusion Detection 7
- Artificial Intelligence top 5%
- Speech Recognition and Synthesis 10
- Privacy-Preserving Technologies in Data 8
- Topic Modeling 7
- Natural Language Processing Techniques 5
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- Advanced X-ray and CT Imaging 7
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- Data Quality and Management 7
- Co-authors
- Yanbin SunZhihong TianShen SuMeikang QiuSabita MaharjanHui LuRama DoddipatlaChunsheng Zhu
- Journals
- Computers, materials & continua/Computers, materials & continua (Print) (5 papers)Biochemical Genetics (2 papers)IEEE Internet of Things Journal (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Mohan Li
70 papers receiving 738 citations
Hit Papers
Peers
Comparison fields: 5 of 114
- Signal Processing 141
- Information Systems 257
- Computer Networks and Communications 234
- Artificial Intelligence 299
- Computer Vision and Pattern Recognition 87
Countries citing papers authored by Mohan Li
This map shows the geographic impact of Mohan Li'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 Mohan Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohan Li more than expected).
Fields of papers citing papers by Mohan Li
This network shows the impact of papers produced by Mohan Li. 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 Mohan Li. The network helps show where Mohan Li may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Mohan Li, 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 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 0 | |
| 5 | 2025 | 0 | |
| 6 | 2024 | 10 | |
| 7 | 2024 | 5 | |
| 8 | 2024 | 1 | |
| 9 | 2024 | 2 | |
| 10 | 2024 | 1 | |
| 11 | 2023 | 3 | |
| 12 | 2023 | 6 | |
| 13 | 2023 | 1 | |
| 14 | 2023 | 1 | |
| 15 | 2023 | 5 | |
| 16 | 2022 | 10 | |
| 17 | 2020 | 43 | |
| 18 | 2019 | 115 | |
| 19 | 2016 | 3 | |
| 20 | APPLICATION OF A FARE POLICY EVALUATION SOFTWARE PACKAGE TO ASSESS POTENTIAL TRANSIT PRICING POLICIES | 1983 | 1 |
About Mohan Li
Mohan Li is a scholar working on Signal Processing, Artificial Intelligence, Computer Networks and Communications, Management Science and Operations Research and Business and International Management, having authored 86 papers that have together received 783 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (10 papers), Privacy-Preserving Technologies in Data (8 papers), Topic Modeling (7 papers), Network Security and Intrusion Detection (7 papers), Advanced X-ray and CT Imaging (7 papers), Data Quality and Management (7 papers), Music and Audio Processing (6 papers) and Natural Language Processing Techniques (5 papers). The work is most often cited by research in Signal Processing (141 citations), Information Systems (257 citations), Computer Networks and Communications (234 citations), Artificial Intelligence (299 citations) and Computer Vision and Pattern Recognition (87 citations). Mohan Li has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Yanbin Sun, Zhihong Tian, Shen Su, Meikang Qiu, Sabita Maharjan, Hui Lu, Rama Doddipatla, Chunsheng Zhu, Nadra Guizani and Xiaojiang Du. Their work appears in journals such as Computers, materials & continua/Computers, materials & continua (Print), Biochemical Genetics, IEEE Internet of Things Journal, Tribology International and Information 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.