Hanjun Dai
Impact in
- Artificial Intelligence top 2%
- Topic Modeling
- Advanced Graph Neural Networks
- Natural Language Processing Techniques
- Semantic Web and Ontologies
- Information Systems top 2%
- Recommender Systems and Techniques
- Information Retrieval and Search Behavior
Papers in
-
- Topic Modeling 9
- Advanced Graph Neural Networks 4
- Domain Adaptation and Few-Shot Learning 3
- Stochastic Gradient Optimization Techniques 2
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- Multimodal Machine Learning Applications 3
- Co-authors
- Le Song (9 shared papers)Yuyu Zhang (2 shared papers)Le Song (6 shared papers)Alexander Johannes Smola (2 shared papers)Zornitsa Kozareva (2 shared papers)Rakshit Trivedi (3 shared papers)Utkarsh Upadhyay (2 shared papers)Nan Du (2 shared papers)
- Journals
- Acta Materialia (1 paper)ACM Transactions on Information Systems (1 paper)Chemistry of Materials (1 paper)Bioinformatics (1 paper)Sequential Analysis (1 paper)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Hanjun Dai
28 papers receiving 1.8k citations
Hanjun Dai's Hit Papers
Peers
Comparison fields: 5 of 84
- Artificial Intelligence 699
- Information Systems 454
- Signal Processing 93
- Transportation 68
- Software 37
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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Recurrent Marked Temporal Point Processes Hit paper breakdown → | 2016 | 348 |
| 2 | 2018 | 328 | |
| 3 | Sequential Click Prediction for Sponsored Search with Recurrent Neural Networks Hit paper breakdown → | 2014 | 283 |
| 4 | 2017 | 275 | |
| 5 | 2020 | 94 | |
| 6 | A Probabilistic Model for Learning Multi-Prototype Word Embeddings | 2014 | 80 |
| 7 | Learning Steady-States of Iterative Algorithms over Graphs | 2018 | 67 |
| 8 | 2021 | 44 | |
| 9 | 2016 | 38 | |
| 10 | 2017 | 35 | |
| 11 | Learning Loop Invariants for Program Verification | 2018 | 32 |
| 12 | 2020 | 29 | |
| 13 | 2022 | 25 | |
| 14 | 2019 | 23 | |
| 15 | LEGO: Latent Execution-Guided Reasoning for Multi-Hop Question Answering on Knowledge Graphs | 2021 | 21 |
| 16 | Differentiable Top-k with Optimal Transport | 2020 | 20 |
| 17 | 2022 | 17 | |
| 18 | Learning a Meta-Solver for Syntax-Guided Program Synthesis | 2018 | 15 |
| 19 | 2023 | 14 | |
| 20 | 2015 | 13 |
About Hanjun Dai
Hanjun Dai is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Software, Computational Theory and Mathematics and Information Systems, having authored 28 papers that have together received 1.9k indexed citations. Recurring topics across this work include Topic Modeling (9 papers), Advanced Graph Neural Networks (4 papers), Domain Adaptation and Few-Shot Learning (3 papers), Machine Learning in Materials Science (3 papers), Multimodal Machine Learning Applications (3 papers), Stochastic Gradient Optimization Techniques (2 papers), Software Testing and Debugging Techniques (2 papers) and Computational Drug Discovery Methods (2 papers). The work is most often cited by research in Artificial Intelligence (699 citations), Information Systems (454 citations), Signal Processing (93 citations), Transportation (68 citations) and Software (37 citations). Hanjun Dai has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Le Song, Yuyu Zhang, Le Song, Alexander Johannes Smola, Zornitsa Kozareva, Rakshit Trivedi, Utkarsh Upadhyay, Nan Du, Manuel Gomez-Rodriguez and Surya R. Kalidindi. Their work appears in journals such as Acta Materialia, ACM Transactions on Information Systems, Chemistry of Materials, Bioinformatics and Sequential Analysis.
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.