Eric Liang
Impact in
- Signal Processing top 5%
- Data Management and Algorithms
- Artificial Intelligence top 5%
- Reinforcement Learning in Robotics
- Data Stream Mining Techniques
Papers in
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- Advanced Database Systems and Queries 3
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- Network Packet Processing and Optimization 2
- Co-authors
- Ion Gabriel Stoica (9 shared papers)Varun Ganapathi (1 shared paper)Adam Coates (1 shared paper)Ben Tse (1 shared paper)Andrew Y. Ng (1 shared paper)Zongheng Yang (3 shared papers)Yan Duan (2 shared papers)Xi Chen (2 shared papers)
- Journals
- Proceedings of the VLDB Endowment (2 papers)Bilingualism Language and Cognition (1 paper)Springer tracts in advanced robotics (1 paper)Traffic Injury Prevention (1 paper)npj Genomic Medicine (1 paper)
- Partner nations
- United StatesHong KongTaiwan
In The Last Decade
Eric Liang
18 papers receiving 1.1k citations
Eric Liang's Hit Papers
Peers
Comparison fields: 5 of 92
- Signal Processing 176
- Artificial Intelligence 518
- Computer Networks and Communications 339
- Hardware and Architecture 68
- Computer Vision and Pattern Recognition 207
Countries citing papers authored by Eric Liang
This map shows the geographic impact of Eric Liang'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 Eric Liang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric Liang more than expected).
Fields of papers citing papers by Eric Liang
This network shows the impact of papers produced by Eric Liang. 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 Eric Liang. The network helps show where Eric Liang may publish in the future.
Co-authors
The 25 scholars most cited alongside Eric Liang, 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 | Autonomous Inverted Helicopter Flight via Reinforcement Learning Hit paper breakdown → | 2006 | 397 |
| 2 | 2019 | 135 | |
| 3 | 2020 | 115 | |
| 4 | 2019 | 98 | |
| 5 | 2014 | 94 | |
| 6 | RLlib: Abstractions for Distributed Reinforcement Learning | 2018 | 68 |
| 7 | 2016 | 52 | |
| 8 | Benchmarks for reinforcement learning in mixed-autonomy traffic | 2018 | 42 |
| 9 | 2011 | 31 | |
| 10 | 2013 | 26 | |
| 11 | 2016 | 16 | |
| 12 | 2021 | 16 | |
| 13 | 2023 | 5 | |
| 14 | Ownership: A Distributed Futures System for Fine-Grained Tasks | 2021 | 4 |
| 15 | Task-Relevant Embeddings for Robust Perception in Reinforcement Learning | 2018 | 3 |
| 16 | 2023 | 2 | |
| 17 | Application of DSRC/WAVE for more efficient streetlamp control | 2011 | 1 |
| 18 | 2013 | 1 |
About Eric Liang
Eric Liang is a scholar working on Computer Networks and Communications, Hardware and Architecture, Signal Processing, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 18 papers that have together received 1.1k indexed citations. Recurring topics across this work include Data Management and Algorithms (3 papers), Advanced Database Systems and Queries (3 papers), Network Packet Processing and Optimization (2 papers), Image Retrieval and Classification Techniques (2 papers), Data Stream Mining Techniques (2 papers), Cloud Computing and Resource Management (2 papers), Reinforcement Learning in Robotics (2 papers) and Advanced Image and Video Retrieval Techniques (2 papers). The work is most often cited by research in Signal Processing (176 citations), Artificial Intelligence (518 citations), Computer Networks and Communications (339 citations), Hardware and Architecture (68 citations) and Computer Vision and Pattern Recognition (207 citations). Eric Liang has collaborated with scholars based in United States, Hong Kong and Taiwan. Frequent co-authors include Ion Gabriel Stoica, Varun Ganapathi, Adam Coates, Ben Tse, Andrew Y. Ng, Zongheng Yang, Yan Duan, Xi Chen, Hang Zhu and Xin Jin. Their work appears in journals such as Proceedings of the VLDB Endowment, Bilingualism Language and Cognition, Springer tracts in advanced robotics, Traffic Injury Prevention and npj Genomic Medicine.
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.