Mohan Yang
Impact in
- Signal Processing top 10%
- Data Management and Algorithms
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- Advanced Database Systems and Queries
Papers in
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- Advanced Database Systems and Queries 10
- Advanced Data Storage Technologies 2
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- Logic, Reasoning, and Knowledge 5
- Semantic Web and Ontologies 3
- Co-authors
- Carlo Zaniolo (10 shared papers)Tyson Condie (3 shared papers)Matteo Interlandi (4 shared papers)Bolin Ding (1 shared paper)Surajit Chaudhuri (1 shared paper)Kaushik Chakrabarti (1 shared paper)Haixun Wang (2 shared papers)Xiaoxia Zhao (1 shared paper)
- Journals
- Information Sciences (1 paper)The VLDB Journal (1 paper)Agricultural and Forest Meteorology (1 paper)Proceedings of the VLDB Endowment (1 paper)Theory and Practice of Logic Programming (1 paper)
- Partner nations
- United StatesChinaItaly
In The Last Decade
Mohan Yang
16 papers receiving 279 citations
Peers
Comparison fields: 5 of 34
- Signal Processing 78
- Computer Networks and Communications 152
- Hardware and Architecture 28
- Information Systems 92
- Information Systems and Management 28
Countries citing papers authored by Mohan Yang
This map shows the geographic impact of Mohan 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 Mohan Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohan Yang more than expected).
Fields of papers citing papers by Mohan Yang
This network shows the impact of papers produced by Mohan 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 Mohan Yang. The network helps show where Mohan Yang may publish in the future.
Co-authors
The 24 scholars most cited alongside Mohan 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 | 2016 | 84 | |
| 2 | 2020 | 40 | |
| 3 | 2015 | 33 | |
| 4 | 2014 | 29 | |
| 5 | 2019 | 24 | |
| 6 | 2016 | 19 | |
| 7 | 2010 | 12 | |
| 8 | 2014 | 9 | |
| 9 | 2011 | 9 | |
| 10 | 2018 | 8 | |
| 11 | Parallel Bottom-Up Evaluation of Logic Programs: DeALS on Shared-Memory Multicore Machines | 2015 | 7 |
| 12 | 2014 | 6 | |
| 13 | Declarative BigData Algorithms via Aggregates and Relational Database Dependencies. | 2018 | 5 |
| 14 | Declarative Languages and Scalable Systems for Graph Analytics and Knowledge Discovery | 2017 | 3 |
| 15 | 2013 | 2 | |
| 16 | The Magic of Pushing Extrema into Recursion: Simple, Powerful Datalog Programs. | 2016 | 1 |
About Mohan Yang
Mohan Yang is a scholar working on Computer Networks and Communications, Artificial Intelligence, Signal Processing, Information Systems and Computer Vision and Pattern Recognition, having authored 16 papers that have together received 291 indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (10 papers), Data Management and Algorithms (7 papers), Logic, Reasoning, and Knowledge (5 papers), Semantic Web and Ontologies (3 papers), Graph Theory and Algorithms (3 papers), Cloud Computing and Resource Management (2 papers), Data Mining Algorithms and Applications (2 papers) and Advanced Data Storage Technologies (2 papers). The work is most often cited by research in Signal Processing (78 citations), Computer Networks and Communications (152 citations), Hardware and Architecture (28 citations), Information Systems (92 citations) and Information Systems and Management (28 citations). Mohan Yang has collaborated with scholars based in United States, China and Italy. Frequent co-authors include Carlo Zaniolo, Tyson Condie, Matteo Interlandi, Bolin Ding, Surajit Chaudhuri, Kaushik Chakrabarti, Haixun Wang, Xiaoxia Zhao, Yumei Li and Jing Zhang. Their work appears in journals such as Information Sciences, The VLDB Journal, Agricultural and Forest Meteorology, Proceedings of the VLDB Endowment and Theory and Practice of Logic Programming.
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.