Minqi Jiang

1.2k total citations · 1 hit paper
14 papers, 521 citations indexed

About

Minqi Jiang is a scholar working on Artificial Intelligence, Economics and Econometrics and Computer Networks and Communications. According to data from OpenAlex, Minqi Jiang has authored 14 papers receiving a total of 521 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 3 papers in Economics and Econometrics and 2 papers in Computer Networks and Communications. Recurrent topics in Minqi Jiang's work include Anomaly Detection Techniques and Applications (3 papers), Reinforcement Learning in Robotics (3 papers) and Machine Learning and Algorithms (2 papers). Minqi Jiang is often cited by papers focused on Anomaly Detection Techniques and Applications (3 papers), Reinforcement Learning in Robotics (3 papers) and Machine Learning and Algorithms (2 papers). Minqi Jiang collaborates with scholars based in China, United Kingdom and Israel. Minqi Jiang's co-authors include Qian Chen, Yijun Feng, Jianfeng Yao, Songqiao Han, Hailiang Huang, Yue Zhao, Xiyang Hu, Jiapeng Liu, Chunyu Liu and Lu Zhang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Industrial & Engineering Chemistry Research.

In The Last Decade

Minqi Jiang

12 papers receiving 509 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

ADBench: Anomaly Detection Benchmark

2022 142 citations Songqiao Han, Xiyang Hu et al. SSRN Electronic Journal profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Minqi Jiang China	6	199	150	143	69	65	14	521
Xiangping Zhang China	10	60 0.3×	95 0.6×	84 0.6×	214 3.1×	59 0.9×	24	620
Yuepeng Wang China	16	51 0.3×	215 1.4×	169 1.2×	23 0.3×	69 1.1×	64	796
Babak Ahmadi Iran	18	80 0.4×	167 1.1×	264 1.8×	80 1.2×	14 0.2×	52	1.6k
Jingyuan Hu China	15	109 0.5×	70 0.5×	60 0.4×	47 0.7×	105 1.6×	34	975
Guoliang Zhao China	15	140 0.7×	66 0.4×	128 0.9×	71 1.0×	164 2.5×	140	830
Guoping Zeng China	13	53 0.3×	95 0.6×	136 1.0×	29 0.4×	108 1.7×	54	555
Sándor Németh Hungary	12	95 0.5×	69 0.5×	85 0.6×	71 1.0×	28 0.4×	60	621
Zifan Li China	19	528 2.7×	420 2.8×	573 4.0×	101 1.5×	144 2.2×	40	1.4k
Yanni Wang China	14	117 0.6×	43 0.3×	218 1.5×	161 2.3×	130 2.0×	85	802

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-authorship network of co-authors of Minqi Jiang

This figure shows the co-authorship network connecting the top 25 collaborators of Minqi Jiang. A scholar is included among the top collaborators of Minqi Jiang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Minqi Jiang. Minqi Jiang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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14 of 14 papers shown

Jiang, Minqi, et al.. (2025). Arch-Eval benchmark for assessing chinese architectural domain knowledge in large language models. Scientific Reports. 15(1). 13485–13485.

Zhang, Chaoli, Liangquan Peng, Qingsong Wen, et al.. (2024). Advancing Multivariate Time Series Anomaly Detection: A Comprehensive Benchmark with Real-World Data from Alibaba Cloud. 5410–5414. 1 indexed citations

Foerster, Jakob, Eric Hambro, Minqi Jiang, et al.. (2024). Rainbow Teaming: Open-Ended Generation of Diverse Adversarial Prompts. 69747–69786. 2 indexed citations

Jiang, Minqi, Tim Rocktäschel, & Edward Grefenstette. (2023). General intelligence requires rethinking exploration. Royal Society Open Science. 10(6). 230539–230539. 8 indexed citations

Jiang, Minqi, Songqiao Han, & Hailiang Huang. (2023). Anomaly Detection with Score Distribution Discrimination. arXiv (Cornell University). 984–996. 9 indexed citations

Han, Songqiao, Xiyang Hu, Hailiang Huang, Minqi Jiang, & Yue Zhao. (2022). ADBench: Anomaly Detection Benchmark. SSRN Electronic Journal. 142 indexed citations breakdown →

Lyle, Clare, Amy Zhang, Minqi Jiang, Joëlle Pineau, & Yarin Gal. (2021). Resolving Causal Confusion in Reinforcement Learning via Robust Exploration. International Conference on Learning Representations. 1 indexed citations

Jiang, Minqi, Jiapeng Liu, & Lu Zhang. (2021). An extended regularized Kalman filter based on Genetic Algorithm: Application to dynamic asset pricing models. The Quarterly Review of Economics and Finance. 79. 28–44. 3 indexed citations

Samvelyan, Mikayel, Robert Kirk, Vitaly Kurin, et al.. (2021). MiniHack the Planet: A Sandbox for Open-Ended Reinforcement Learning Research. arXiv (Cornell University). 3 indexed citations

10.

Wang, Anzhe, et al.. (2020). Study on the effect of sample shapes on the thermal shock behavior of ZrB₂‐SiC‐Graphite sharp leading edge. SHILAP Revista de lepidopterología. 2(2). 101–109. 10 indexed citations

11.

Zhang, Lu, Jiapeng Liu, & Minqi Jiang. (2020). The Application of the Integrated Machine Learning Model in the Financial Crisis of Imbalanced Samples. IOP Conference Series Materials Science and Engineering. 790(1). 12049–12049. 1 indexed citations

12.

Jiang, Minqi, Jiapeng Liu, Lu Zhang, & Chunyu Liu. (2019). An improved Stacking framework for stock index prediction by leveraging tree-based ensemble models and deep learning algorithms. Physica A Statistical Mechanics and its Applications. 541. 122272–122272. 104 indexed citations

13.

Jiang, Minqi, et al.. (2019). An Improved Stacking Framework for Predicting Stock Price Index Direction. ECONOMIC COMPUTATION AND ECONOMIC CYBERNETICS STUDIES AND RESEARCH. 53(3/2019). 187–202. 2 indexed citations

14.

Feng, Yijun, Qian Chen, Minqi Jiang, & Jianfeng Yao. (2019). Tailoring the Properties of UiO-66 through Defect Engineering: A Review. Industrial & Engineering Chemistry Research. 58(38). 17646–17659. 235 indexed citations

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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