Junheng Hao
Impact in
- Artificial Intelligence top 10%
- Topic Modeling
- Advanced Graph Neural Networks
- Semantic Web and Ontologies
- Natural Language Processing Techniques
Papers in
-
- Topic Modeling 4
- Advanced Graph Neural Networks 3
- Semantic Web and Ontologies 2
- Sentiment Analysis and Opinion Mining 1
- Co-authors
- Wei Wang (5 shared papers)Yizhou Sun (4 shared papers)Muhao Chen (2 shared papers)Wenchao Yu (1 shared paper)Christos Faloutsos (1 shared paper)Xin Luna Dong (1 shared paper)Jin Li (1 shared paper)Xin Pei (2 shared papers)
- Journals
- Bioinformatics (1 paper)Transportation Research Part B Methodological (1 paper)Lecture notes in computer science (1 paper)Proceedings of the ACM Web Conference 2022 (1 paper)
- Partner nations
- United StatesChinaHong Kong
In The Last Decade
Junheng Hao
10 papers receiving 261 citations
Peers
Comparison fields: 5 of 55
- Artificial Intelligence 187
- Transportation 19
- Management Science and Operations Research 30
- Information Systems 47
- Safety, Risk, Reliability and Quality 16
Countries citing papers authored by Junheng Hao
This map shows the geographic impact of Junheng Hao'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 Junheng Hao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junheng Hao more than expected).
Fields of papers citing papers by Junheng Hao
This network shows the impact of papers produced by Junheng Hao. 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 Junheng Hao. The network helps show where Junheng Hao may publish in the future.
Co-authors
The 25 scholars most cited alongside Junheng Hao, 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 | 2019 | 116 | |
| 2 | 2020 | 45 | |
| 3 | 2018 | 30 | |
| 4 | 2021 | 28 | |
| 5 | 2022 | 18 | |
| 6 | 2021 | 16 | |
| 7 | 2016 | 6 | |
| 8 | 2024 | 5 | |
| 9 | 2024 | 2 | |
| 10 | 2023 | 1 |
About Junheng Hao
Junheng Hao is a scholar working on Artificial Intelligence, Molecular Biology, Safety, Risk, Reliability and Quality, Building and Construction and Computer Networks and Communications, having authored 10 papers that have together received 267 indexed citations. Recurring topics across this work include Topic Modeling (4 papers), Advanced Graph Neural Networks (3 papers), Traffic Prediction and Management Techniques (2 papers), Semantic Web and Ontologies (2 papers), Traffic and Road Safety (2 papers), Software System Performance and Reliability (1 paper), Sentiment Analysis and Opinion Mining (1 paper) and Recommender Systems and Techniques (1 paper). The work is most often cited by research in Artificial Intelligence (187 citations), Transportation (19 citations), Management Science and Operations Research (30 citations), Information Systems (47 citations) and Safety, Risk, Reliability and Quality (16 citations). Junheng Hao has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Wei Wang, Yizhou Sun, Muhao Chen, Wenchao Yu, Christos Faloutsos, Xin Luna Dong, Jin Li, Xin Pei, Zuo‐Feng Zhang and Tong Zhao. Their work appears in journals such as Bioinformatics, Transportation Research Part B Methodological, Lecture notes in computer science and Proceedings of the ACM Web Conference 2022.
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.