Haoruo Peng
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 10%
- Transportation top 10%
- Information Systems top 10%
- Management Science and Operations Research
- Co-authors
- Dan RothYangqiu SongSnigdha ChaturvediYu ZhengJiawei HanDaniel KhashabiShaowen WangChao Zhang
- Topics
- Topic Modeling (16 papers)Natural Language Processing Techniques (15 papers)Data Quality and Management (4 papers)
- Journals
- Artificial IntelligenceTheory and applications of categoriesRare & Special e-Zone (The Hong Kong University of Science and Technology)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Haoruo Peng
21 papers receiving 440 citations
Peers
Comparison fields: 5 of 56
- Artificial Intelligence 386
- Computer Vision and Pattern Recognition 62
- Transportation 61
- Information Systems 49
- Management Science and Operations Research 33
Countries citing papers authored by Haoruo Peng
This map shows the geographic impact of Haoruo Peng'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 Haoruo Peng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Haoruo Peng more than expected).
Fields of papers citing papers by Haoruo Peng
This network shows the impact of papers produced by Haoruo Peng. 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 Haoruo Peng. The network helps show where Haoruo Peng may publish in the future.
Co-authorship network of co-authors of Haoruo Peng
This figure shows the co-authorship network connecting the top 25 collaborators of Haoruo Peng. A scholar is included among the top collaborators of Haoruo Peng 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 Haoruo Peng. Haoruo Peng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 9 | |
| 3 | 11 | |
| 4 | 39 | |
| 5 | UI CCG TAC-KBP2017 Submissions: Entity Discovery and Linking, and Event Nugget Detection and Co-reference. | 4 |
| 6 | 63 | |
| 7 | 11 | |
| 8 | 97 | |
| 9 | 12 | |
| 10 | Cross-lingual dataless classification for many languages | 11 |
| 11 | Illinois CCG Entity Discovery and Linking, Event Nugget Detection and Co-reference, and Slot Filler Validation Systems for TAC 2016. | 1 |
| 12 | 26 | |
| 13 | 73 | |
| 14 | Illinois CCG TAC 2015 Event Nugget, Entity Discovery and Linking, and Slot Filler Validation Systems | 9 |
| 15 | 5 | |
| 16 | 36 | |
| 17 | 1 | |
| 18 | 33 | |
| 19 | A scalable approach to column-based low-rank matrix approximation | 4 |
| 20 | 11 |
About Haoruo Peng
Haoruo Peng is a scholar working on Computational Mathematics, Artificial Intelligence and Management Science and Operations Research, having authored 21 papers that have together received 471 indexed citations. Recurring topics across this work include Topic Modeling (16 papers), Natural Language Processing Techniques (15 papers) and Data Quality and Management (4 papers). The work is most often cited by research in Artificial Intelligence (386 citations), Transportation (61 citations) and Computational Mathematics (2 citations). Haoruo Peng has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Dan Roth, Yangqiu Song, Snigdha Chaturvedi, Yu Zheng, Jiawei Han, Daniel Khashabi, Shaowen Wang, Chao Zhang, Quan Yuan and Tim Hanratty. Their work appears in journals such as Artificial Intelligence, Theory and applications of categories and Rare & Special e-Zone (The Hong Kong University of Science and Technology).
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.