Minqi Jiang

1.2k citations
13 papers · 574 · 1 hit paper · h-index 6

Impact in

Papers in

    • Reinforcement Learning in Robotics 3
    • Anomaly Detection Techniques and Applications 3
    • Data Stream Mining Techniques 2
    • Machine Learning and Algorithms 2
    • Imbalanced Data Classification Techniques 1
    • Market Dynamics and Volatility 2

Minqi Jiang

12 papers receiving 563 citations

Minqi Jiang's Hit Papers

ADBench: Anomaly Detection Benchmark 2022 · 169 citations
1690+1+2Years since publication50100150

Peers

Minqi Jiang
Comparison fields: 5 of 91
  • Inorganic Chemistry 209
  • Management Science and Operations Research 65
  • Artificial Intelligence 168
  • Signal Processing 50
  • Process Chemistry and Technology 10
Replace Degang Wang with:
Degang Wang China
Guoping Zeng China
Sándor Németh Hungary
Akhil Arora United States
Zhangjie Liu China
Yuepeng Wang China
Jingyuan Hu China
James G. Stevens United Kingdom
S. Mangold Germany
Minqi Jiang relative to Degang Wang China Degang Wang's profile →
Citations per field
00.5×5.5×
Degang Wang · 1×
Citations per year

Countries citing papers authored by Minqi Jiang

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Minqi Jiang Line = papers co-authored together Minqi Jiang links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 2019249
2
ADBench: Anomaly Detection Benchmark
Hit paper breakdown →
2022169
3 2019111
4 202311
5 202010
6 20239
7 20214
8 20214
9 20192
10 20242
11 20241
12
Resolving Causal Confusion in Reinforcement Learning via Robust Exploration
20211
13 20201

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 13 papers that have together received 574 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), Market Dynamics and Volatility (2 papers), Network Security and Intrusion Detection (2 papers), Stock Market Forecasting Methods (2 papers) and Imbalanced Data Classification Techniques (1 paper). The work is most often cited by research in Inorganic Chemistry (209 citations), Management Science and Operations Research (65 citations), Artificial Intelligence (168 citations), Signal Processing (50 citations) and Process Chemistry and Technology (10 citations). Minqi Jiang has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Qian Chen, Jianfeng Yao, Yijun Feng, Hailiang Huang, Songqiao Han, Xiyang Hu, Yue Zhao, Jiapeng Liu, Lu Zhang and Chunyu Liu. Their work appears in journals such as Physica A Statistical Mechanics and its Applications, Industrial & Engineering Chemistry Research, Royal Society Open Science, The Quarterly Review of Economics and Finance and ECONOMIC COMPUTATION AND ECONOMIC CYBERNETICS STUDIES AND RESEARCH.

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.

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