Hanjun Dai
Impact in
- Artificial Intelligence top 2%
- Topic Modeling
- Advanced Graph Neural Networks
- Natural Language Processing Techniques
- Transportation top 5%
- Human Mobility and Location-Based Analysis
Papers in ⓘ
- Software 3
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- Statistical Methods and Bayesian Inference 2
- Co-authors
- Le Song (13 shared papers)Yuyu Zhang (2 shared papers)Le Song (8 shared papers)Alexander J. Smola (2 shared papers)Zornitsa Kozareva (2 shared papers)Rakshit Trivedi (4 shared papers)Surya R. Kalidindi (1 shared paper)Yuksel C. Yabansu (1 shared paper)
- Journals
- ACM Transactions on Information Systems (1 paper)Bioinformatics (1 paper)Acta Materialia (1 paper)Sequential Analysis (1 paper)Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (1 paper)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Hanjun Dai
31 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 114
- Artificial Intelligence 696
- Transportation 120
- Information Systems 324
- Software 49
- Computer Vision and Pattern Recognition 242
Countries citing papers authored by Hanjun Dai
This map shows the geographic impact of Hanjun Dai'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 Hanjun Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hanjun Dai more than expected).
Fields of papers citing papers by Hanjun Dai
This network shows the impact of papers produced by Hanjun Dai. 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 Hanjun Dai. The network helps show where Hanjun Dai may publish in the future.
Co-authors
The 25 scholars most cited alongside Hanjun Dai, 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Recurrent Marked Temporal Point Processes Hit paper breakdown → | 2016 | 279 |
| 2 | 2018 | 260 | |
| 3 | 2017 | 255 | |
| 4 | 2014 | 184 | |
| 5 | A Probabilistic Model for Learning Multi-Prototype Word Embeddings | 2014 | 68 |
| 6 | Learning Steady-States of Iterative Algorithms over Graphs | 2018 | 59 |
| 7 | 2021 | 39 | |
| 8 | 2017 | 32 | |
| 9 | 2016 | 31 | |
| 10 | LEGO: Latent Execution-Guided Reasoning for Multi-Hop Question Answering on Knowledge Graphs | 2021 | 20 |
| 11 | Learning Loop Invariants for Program Verification | 2018 | 19 |
| 12 | 2019 | 18 | |
| 13 | 2020 | 18 | |
| 14 | Differentiable Top-k with Optimal Transport | 2020 | 17 |
| 15 | 2022 | 17 | |
| 16 | Towards understanding retrosynthesis by energy-based models | 2021 | 13 |
| 17 | 2020 | 13 | |
| 18 | Recurrent Hidden Semi-Markov Model | 2017 | 12 |
| 19 | 2020 | 11 | |
| 20 | 2015 | 11 |
About Hanjun Dai
Hanjun Dai is a scholar working on Software, Statistics and Probability, Artificial Intelligence, Transportation and Hardware and Architecture, having authored 32 papers that have together received 1.4k indexed citations. Recurring topics across this work include Topic Modeling (6 papers), Advanced Graph Neural Networks (5 papers), Natural Language Processing Techniques (4 papers), Gaussian Processes and Bayesian Inference (4 papers), Bayesian Methods and Mixture Models (4 papers), Software Engineering Research (3 papers), Optimization and Search Problems (2 papers) and Statistical Methods and Bayesian Inference (2 papers). The work is most often cited by research in Artificial Intelligence (696 citations), Transportation (120 citations), Information Systems (324 citations), Software (49 citations) and Computer Vision and Pattern Recognition (242 citations). Hanjun Dai has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Le Song, Yuyu Zhang, Le Song, Alexander J. Smola, Zornitsa Kozareva, Rakshit Trivedi, Surya R. Kalidindi, Yuksel C. Yabansu, Ahmet Cecen and Utkarsh Upadhyay. Their work appears in journals such as ACM Transactions on Information Systems, Bioinformatics, Acta Materialia, Sequential Analysis and Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining.
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.