Eric Liang
- Artificial Intelligence top 5%
- Computer Networks and Communications top 5%
- Signal Processing top 5%
- Computer Vision and Pattern Recognition top 10%
- Information Systems top 10%
- Topics
- Advanced Database Systems and Queries (3 papers)Data Management and Algorithms (3 papers)Distributed and Parallel Computing Systems (2 papers)
- Journals
- Proceedings of the VLDB EndowmentBilingualism Language and CognitionTraffic Injury Prevention
- Partner nations
- United StatesHong KongCanada
In The Last Decade
Eric Liang
19 papers receiving 693 citations
Peers
Comparison fields: 5 of 91
- Artificial Intelligence 287
- Computer Networks and Communications 285
- Signal Processing 151
- Computer Vision and Pattern Recognition 132
- Information Systems 95
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-authorship network of co-authors of Eric Liang
This figure shows the co-authorship network connecting the top 25 collaborators of Eric Liang. A scholar is included among the top collaborators of Eric Liang 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 Eric Liang. Eric Liang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 5 | |
| 3 | Ownership: A Distributed Futures System for Fine-Grained Tasks | 4 |
| 4 | 14 | |
| 5 | 88 | |
| 6 | 68 | |
| 7 | 86 | |
| 8 | 124 | |
| 9 | RLlib: Abstractions for Distributed Reinforcement Learning | 50 |
| 10 | Task-Relevant Embeddings for Robust Perception in Reinforcement Learning | 2 |
| 11 | Benchmarks for reinforcement learning in mixed-autonomy traffic | 38 |
| 12 | Ray RLLib: A Composable and Scalable Reinforcement Learning Library | 49 |
| 13 | 15 | |
| 14 | 43 | |
| 15 | 76 | |
| 16 | 19 | |
| 17 | 1 | |
| 18 | Application of DSRC/WAVE for more efficient streetlamp control | 1 |
| 19 | 24 |
About Eric Liang
Eric Liang is a scholar working on Hardware and Architecture, Computer Networks and Communications and Signal Processing, having authored 19 papers that have together received 709 indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (3 papers), Data Management and Algorithms (3 papers) and Distributed and Parallel Computing Systems (2 papers). The work is most often cited by research in Signal Processing (151 citations), Computer Networks and Communications (285 citations) and Artificial Intelligence (287 citations). Eric Liang has collaborated with scholars based in United States, Hong Kong and Canada. Frequent co-authors include Ion Stoica, Zongheng Yang, Pieter Abbeel, Xi Chen, Yan Duan, Hang Zhu, Xin Jin, Patrick C. M. Wong, Marc Ettlinger and Mark Antoniou. Their work appears in journals such as Proceedings of the VLDB Endowment, Bilingualism Language and Cognition and Traffic Injury Prevention.
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.