Hao Peng
Impact in
- Artificial Intelligence top 0.2%
- Topic Modeling
- Advanced Graph Neural Networks
- Natural Language Processing Techniques
- Text and Document Classification Technologies
- Advanced Text Analysis Techniques
- Transportation top 0.5%
Papers in
-
- Topic Modeling 50
- Advanced Graph Neural Networks 50
- Natural Language Processing Techniques 16
- Sentiment Analysis and Opinion Mining 13
- Advanced Text Analysis Techniques 13
-
- Recommender Systems and Techniques 12
- Co-authors
- Philip S. Yu (56 shared papers)Jianxin Li (45 shared papers)Lifang He (22 shared papers)Lihong Wang (23 shared papers)Senzhang Wang (14 shared papers)Renyu Yang (12 shared papers)Zhi Jin (3 shared papers)Lili Mou (3 shared papers)
- Journals
- IEEE Transactions on Knowledge and Data Engineering (8 papers)Information Sciences (4 papers)Knowledge-Based Systems (4 papers)IEEE Transactions on Neural Networks and Learning Systems (4 papers)IEEE/ACM Transactions on Audio Speech and Language Processing (3 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Hao Peng
183 papers receiving 5.7k citations
Hao Peng's Hit Papers
Peers
Comparison fields: 5 of 162
- Artificial Intelligence 3.3k
- Transportation 533
- Signal Processing 703
- Software 250
- Information Systems 1.2k
Countries citing papers authored by Hao Peng
This map shows the geographic impact of Hao 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 Hao Peng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hao Peng more than expected).
Fields of papers citing papers by Hao Peng
This network shows the impact of papers produced by Hao 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 Hao Peng. The network helps show where Hao Peng may publish in the future.
Co-authors
The 25 scholars most cited alongside Hao Peng, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 202 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Classifying Relations via Long Short Term Memory Networks along Shortest Dependency Paths Hit paper breakdown → | 2015 | 464 |
| 2 | Large-Scale Hierarchical Text Classification with Recursively Regularized Deep Graph-CNN Hit paper breakdown → | 2018 | 314 |
| 3 | Using probabilistic generative models for ranking risks of Android apps Hit paper breakdown → | 2012 | 299 |
| 4 | A Survey on Text Classification: From Traditional to Deep Learning Hit paper breakdown → | 2022 | 270 |
| 5 | Spatial temporal incidence dynamic graph neural networks for traffic flow forecasting Hit paper breakdown → | 2020 | 256 |
| 6 | Deep Irregular Convolutional Residual LSTM for Urban Traffic Passenger Flows Prediction Hit paper breakdown → | 2019 | 233 |
| 7 | 2019 | 179 | |
| 8 | Dynamic graph convolutional network for long-term traffic flow prediction with reinforcement learning Hit paper breakdown → | 2021 | 178 |
| 9 | 2019 | 141 | |
| 10 | 2020 | 124 | |
| 11 | 2021 | 117 | |
| 12 | 2021 | 114 | |
| 13 | 2021 | 107 | |
| 14 | 2015 | 105 | |
| 15 | 2022 | 96 | |
| 16 | 2020 | 91 | |
| 17 | 2019 | 85 | |
| 18 | 2021 | 77 | |
| 19 | 2020 | 71 | |
| 20 | 2021 | 71 |
About Hao Peng
Hao Peng is a scholar working on Artificial Intelligence, Information Systems, Computer Networks and Communications, Computer Vision and Pattern Recognition and Statistical and Nonlinear Physics, having authored 202 papers that have together received 5.8k indexed citations. Recurring topics across this work include Topic Modeling (50 papers), Advanced Graph Neural Networks (50 papers), Complex Network Analysis Techniques (18 papers), Natural Language Processing Techniques (16 papers), Network Security and Intrusion Detection (14 papers), Sentiment Analysis and Opinion Mining (13 papers), Advanced Text Analysis Techniques (13 papers) and Recommender Systems and Techniques (12 papers). The work is most often cited by research in Artificial Intelligence (3.3k citations), Transportation (533 citations), Signal Processing (703 citations), Software (250 citations) and Information Systems (1.2k citations). Hao Peng has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Philip S. Yu, Jianxin Li, Lifang He, Lihong Wang, Senzhang Wang, Renyu Yang, Zhi Jin, Lili Mou, Bowen Du and Yunchuan Chen. Their work appears in journals such as IEEE Transactions on Knowledge and Data Engineering, Information Sciences, Knowledge-Based Systems, IEEE Transactions on Neural Networks and Learning Systems and IEEE/ACM Transactions on Audio Speech and Language Processing.
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.