Minqi Jiang
Impact in
- Inorganic Chemistry top 5%
- Metal-Organic Frameworks: Synthesis and Applications
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- Stock Market Forecasting Methods
Papers in
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- Reinforcement Learning in Robotics 3
- Anomaly Detection Techniques and Applications 3
- Data Stream Mining Techniques 2
- Machine Learning and Algorithms 2
- Natural Language Processing Techniques 1
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- Market Dynamics and Volatility 2
- Co-authors
- Jianfeng Yao (1 shared paper)Yijun Feng (1 shared paper)Qian Chen (1 shared paper)Songqiao Han (2 shared papers)Hailiang Huang (2 shared papers)Xiyang Hu (1 shared paper)Yue Zhao (1 shared paper)Jiapeng Liu (3 shared papers)
- Journals
- Scientific Reports (1 paper)Physica A Statistical Mechanics and its Applications (1 paper)Royal Society Open Science (1 paper)Industrial & Engineering Chemistry Research (1 paper)The Quarterly Review of Economics and Finance (1 paper)
- Partner nations
- ChinaUnited KingdomIsrael
In The Last Decade
Minqi Jiang
12 papers receiving 509 citations
Minqi Jiang's Hit Papers
Peers
Comparison fields: 5 of 91
- Inorganic Chemistry 199
- Management Science and Operations Research 59
- Artificial Intelligence 150
- Signal Processing 47
- Process Chemistry and Technology 10
Countries citing papers authored by Minqi Jiang
This map shows the geographic impact of Minqi 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 Minqi Jiang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Minqi Jiang more than expected).
Fields of papers citing papers by Minqi Jiang
This network shows the impact of papers produced by Minqi 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 Minqi Jiang. The network helps show where Minqi Jiang may publish in the future.
Co-authors
The 25 scholars most cited alongside Minqi 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 | 2019 | 235 | |
| 2 | ADBench: Anomaly Detection Benchmark Hit paper breakdown → | 2022 | 142 |
| 3 | 2019 | 104 | |
| 4 | 2020 | 10 | |
| 5 | 2023 | 9 | |
| 6 | 2023 | 8 | |
| 7 | 2021 | 3 | |
| 8 | 2021 | 3 | |
| 9 | 2024 | 2 | |
| 10 | 2019 | 2 | |
| 11 | 2024 | 1 | |
| 12 | Resolving Causal Confusion in Reinforcement Learning via Robust Exploration | 2021 | 1 |
| 13 | 2020 | 1 | |
| 14 | 2025 | 0 |
About Minqi Jiang
Minqi Jiang is a scholar working on Artificial Intelligence, Economics and Econometrics, Computer Networks and Communications, Management Science and Operations Research and Materials Chemistry, having authored 14 papers that have together received 521 indexed citations. Recurring topics across this work include Reinforcement Learning in Robotics (3 papers), Anomaly Detection Techniques and Applications (3 papers), Data Stream Mining Techniques (2 papers), Machine Learning and Algorithms (2 papers), Stock Market Forecasting Methods (2 papers), Network Security and Intrusion Detection (2 papers), Market Dynamics and Volatility (2 papers) and Natural Language Processing Techniques (1 paper). The work is most often cited by research in Inorganic Chemistry (199 citations), Management Science and Operations Research (59 citations), Artificial Intelligence (150 citations), Signal Processing (47 citations) and Process Chemistry and Technology (10 citations). Minqi Jiang has collaborated with scholars based in China, United Kingdom and Israel. Frequent co-authors include Jianfeng Yao, Yijun Feng, Qian Chen, Songqiao Han, Hailiang Huang, Xiyang Hu, Yue Zhao, Jiapeng Liu, Chunyu Liu and Lu Zhang. Their work appears in journals such as Scientific Reports, Physica A Statistical Mechanics and its Applications, Royal Society Open Science, Industrial & Engineering Chemistry Research and The Quarterly Review of Economics and Finance.
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.