Mingjin Chen

574 total citations · 1 hit paper
7 papers, 506 citations indexed

About

Mingjin Chen is a scholar working on Organic Chemistry, Computer Vision and Pattern Recognition and Anesthesiology and Pain Medicine. According to data from OpenAlex, Mingjin Chen has authored 7 papers receiving a total of 506 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Organic Chemistry, 2 papers in Computer Vision and Pattern Recognition and 2 papers in Anesthesiology and Pain Medicine. Recurrent topics in Mingjin Chen's work include EEG and Brain-Computer Interfaces (2 papers), Catalytic Alkyne Reactions (2 papers) and Anesthesia and Sedative Agents (2 papers). Mingjin Chen is often cited by papers focused on EEG and Brain-Computer Interfaces (2 papers), Catalytic Alkyne Reactions (2 papers) and Anesthesia and Sedative Agents (2 papers). Mingjin Chen collaborates with scholars based in China. Mingjin Chen's co-authors include Junliang Zhang, Ben Ma, Haihong Wu, Zhunzhun Yu, Lu Liu, Zhan‐Ming Zhang, Zhijing Yang, Siyuan Peng, Guojun Han and Jie Wang and has published in prestigious journals such as Journal of the American Chemical Society, ACS Catalysis and Sensors.

In The Last Decade

Mingjin Chen

7 papers receiving 503 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.

Highly Site-Selective Direct C–H Bond Functionalization of Phenols with α-Aryl-α-diazoacetates and Diazooxindoles via Gold Catalysis

2014 404 citations Zhunzhun Yu, Ben Ma et al. Journal of the American Chemical Society profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mingjin Chen China	4	480	67	20	12	11	7	506
Iván Varela Spain	6	344 0.7×	44 0.7×	21 1.1×	24 2.0×	8 0.7×	19	386
Katharina Graf Germany	8	515 1.1×	73 1.1×	9 0.5×	12 1.0×	10 0.9×	10	535
Abhisek Joshi India	10	435 0.9×	43 0.6×	16 0.8×	32 2.7×	9 0.8×	17	450
Kuntal Pal India	12	393 0.8×	52 0.8×	23 1.1×	12 1.0×	13 1.2×	27	415
Dominic Campeau Canada	7	397 0.8×	56 0.8×	15 0.8×	22 1.8×	14 1.3×	10	409
Vivek W. Bhoyare India	7	467 1.0×	115 1.7×	13 0.7×	14 1.2×	20 1.8×	8	489
Akash G. Tathe India	8	392 0.8×	97 1.4×	11 0.6×	9 0.8×	18 1.6×	8	410
Ming Bao China	11	366 0.8×	54 0.8×	19 0.9×	18 1.5×	10 0.9×	30	396
Seyedmorteza Hosseyni United States	8	394 0.8×	36 0.5×	15 0.8×	25 2.1×	8 0.7×	9	409
David Fabian León Rayo Canada	7	407 0.8×	65 1.0×	10 0.5×	22 1.8×	14 1.3×	10	419

Countries citing papers authored by Mingjin Chen

Since Specialization

Citations

This map shows the geographic impact of Mingjin Chen'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 Mingjin Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mingjin Chen more than expected).

Fields of papers citing papers by Mingjin Chen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mingjin Chen. 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 Mingjin Chen. The network helps show where Mingjin Chen may publish in the future.

Co-authorship network of co-authors of Mingjin Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Mingjin Chen. A scholar is included among the top collaborators of Mingjin Chen 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 Mingjin Chen. Mingjin Chen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

7 of 7 papers shown

1.

Chen, Mingjin, et al.. (2025). DCA-Unet: Enhancing small object segmentation in hyperspectral images with Dual Channel Attention Unet. Journal of the Franklin Institute. 362(4). 107532–107532. 1 indexed citations

2.

Chen, Mingjin, et al.. (2023). A Deep Learning Framework for Anesthesia Depth Prediction from Drug Infusion History. Sensors. 23(21). 8994–8994. 4 indexed citations

3.

Peng, Siyuan, et al.. (2023). A Transformer-Based Prediction Method for Depth of Anesthesia During Target-Controlled Infusion of Propofol and Remifentanil. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 31. 3363–3374. 7 indexed citations

4.

Wang, Jie, et al.. (2022). A study of sparse representation-based classification for biometric verification based on both handcrafted and deep learning features. Complex & Intelligent Systems. 9(2). 1583–1603. 1 indexed citations

5.

Chen, Mingjin, et al.. (2022). Attention-Based Bidirectional LSTM With Differential Features For Disk RUL Prediction. 684–689. 3 indexed citations

6.

Chen, Mingjin, Zhan‐Ming Zhang, Zhunzhun Yu, et al.. (2015). Polymer-Bound Chiral Gold-Based Complexes as Efficient Heterogeneous Catalysts for Enantioselectivity Tunable Cycloaddition. ACS Catalysis. 5(12). 7488–7492. 86 indexed citations

7.

Yu, Zhunzhun, Ben Ma, Mingjin Chen, et al.. (2014). Highly Site-Selective Direct C–H Bond Functionalization of Phenols with α-Aryl-α-diazoacetates and Diazooxindoles via Gold Catalysis. Journal of the American Chemical Society. 136(19). 6904–6907. 404 indexed citations breakdown →

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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