Zhengbao Jiang
- Health Informatics top 1%
- Artificial Intelligence top 0.5%
- Topic Modeling 10
- Natural Language Processing Techniques 9
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- Multimodal Machine Learning Applications 4
- Information Systems top 1%
- Information Retrieval and Search Behavior 3
- Web Data Mining and Analysis 3
- Expert finding and Q&A systems 2
- Software top 5%
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- Data Quality and Management 2
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- Data Management and Algorithms 2
- Co-authors
- Graham NeubigPengfei LiuHiroaki HayashiJinlan FuWeizhe YuanJun ArakiHaibo DingZi-Yi Dou
- Journals
- ACM Computing Surveys (1 paper)IEEE Transactions on Knowledge and Data Engineering (3 papers)Transactions of the Association for Computational Linguistics (1 paper)
- Partner nations
- United StatesChinaCanada
In The Last Decade
Zhengbao Jiang
16 papers receiving 2.5k citations
Hit Papers
Peers
Comparison fields: 5 of 137
- Health Informatics 131
- Artificial Intelligence 1.8k
- Computer Vision and Pattern Recognition 508
- Information Systems 485
- Software 82
Countries citing papers authored by Zhengbao Jiang
This map shows the geographic impact of Zhengbao Jiang'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 Zhengbao Jiang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhengbao Jiang more than expected).
Fields of papers citing papers by Zhengbao Jiang
This network shows the impact of papers produced by Zhengbao Jiang. 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 Zhengbao Jiang. The network helps show where Zhengbao Jiang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Zhengbao Jiang, 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 | 2024 | 1 | |
| 2 | Active Retrieval Augmented Generationbreakdown → | 2023 | 140 |
| 3 | 2022 | 10 | |
| 4 | 2022 | 20 | |
| 5 | 2022 | 3 | |
| 6 | 2022 | 6 | |
| 7 | Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processingbreakdown → | 2022 | 2003 |
| 8 | 2021 | 122 | |
| 9 | 2021 | 93 | |
| 10 | 2021 | 2 | |
| 11 | 2020 | 51 | |
| 12 | 2018 | 39 | |
| 13 | 2018 | 12 | |
| 14 | 2017 | 35 | |
| 15 | 2016 | 9 | |
| 16 | 2015 | 20 |
About Zhengbao Jiang
Zhengbao Jiang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems, having authored 16 papers that have together received 2.6k indexed citations. Recurring topics across this work include Topic Modeling (10 papers), Natural Language Processing Techniques (9 papers), Multimodal Machine Learning Applications (4 papers), Information Retrieval and Search Behavior (3 papers), Web Data Mining and Analysis (3 papers), Expert finding and Q&A systems (2 papers), Data Quality and Management (2 papers) and Data Management and Algorithms (2 papers). The work is most often cited by research in Health Informatics (131 citations), Artificial Intelligence (1.8k citations) and Computer Vision and Pattern Recognition (508 citations). Zhengbao Jiang has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Graham Neubig, Pengfei Liu, Hiroaki Hayashi, Jinlan Fu, Weizhe Yuan, Jun Araki, Haibo Ding, Zi-Yi Dou, Zhicheng Dou and Ji-Rong Wen. Their work appears in journals such as ACM Computing Surveys, IEEE Transactions on Knowledge and Data Engineering and Transactions of the Association for Computational Linguistics.
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.