Mingchen Li

633 total citations
26 papers, 174 citations indexed

About

Mingchen Li is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Mingchen Li has authored 26 papers receiving a total of 174 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 7 papers in Computer Vision and Pattern Recognition and 3 papers in Molecular Biology. Recurrent topics in Mingchen Li's work include Topic Modeling (8 papers), Advanced Neural Network Applications (4 papers) and Natural Language Processing Techniques (4 papers). Mingchen Li is often cited by papers focused on Topic Modeling (8 papers), Advanced Neural Network Applications (4 papers) and Natural Language Processing Techniques (4 papers). Mingchen Li collaborates with scholars based in United States, China and Singapore. Mingchen Li's co-authors include Rui Zhang, Guyue Zhang, Yan Qiu Chen, Jun Liu, Halil Kilicoglu, Hua Xu, Samet Oymak, Dingkang Yang, Peng Zhai and Lihua Zhang and has published in prestigious journals such as Scientific Reports, Building and Environment and Journal of the American Medical Informatics Association.

In The Last Decade

Mingchen Li

23 papers receiving 170 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mingchen Li United States	8	71	47	28	17	14	26	174
Najib Ben Aoun Tunisia	10	77 1.1×	126 2.7×	11 0.4×	19 1.1×	1 0.1×	27	230
Humza Naveed Pakistan	5	47 0.7×	52 1.1×	3 0.1×	11 0.6×	5 0.4×	7	159
Yixuan Li United States	3	100 1.4×	51 1.1×	9 0.3×	7 0.4×	4 0.3×	6	189
Mohammad Ali Bagheri Canada	8	87 1.2×	74 1.6×	10 0.4×	53 3.1×		19	197
Shaikh Muhammad Allayear Bangladesh	8	42 0.6×	36 0.8×	6 0.2×	6 0.4×	3 0.2×	18	140
D. N. V. S. L. S. Indira India	6	32 0.5×	21 0.4×	5 0.2×	13 0.8×	1 0.1×	25	116
Oscar Chang Ecuador	7	40 0.6×	28 0.6×	7 0.3×	7 0.4×		33	161
Mohamed Uvaze Ahamed Ayoobkhan India	9	48 0.7×	118 2.5×	3 0.1×	6 0.4×	11 0.8×	25	208
Shoujue Wang China	8	45 0.6×	127 2.7×	13 0.5×	7 0.4×		70	223
Jiangpeng He United States	10	119 1.7×	92 2.0×	24 0.9×	61 3.6×		31	279

Countries citing papers authored by Mingchen Li

Since Specialization

Citations

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

Fields of papers citing papers by Mingchen Li

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mingchen Li

This figure shows the co-authorship network connecting the top 25 collaborators of Mingchen Li. A scholar is included among the top collaborators of Mingchen Li 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 Mingchen Li. Mingchen Li 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:

20 of 20 papers shown

Chow, Lisa S., et al.. (2026). NutriRAG: unleashing the power of large language models for food identification and classification through retrieval methods. Journal of the American Medical Informatics Association.

Li, Mingchen, et al.. (2026). CancerLLM: a large language model in cancer domain. npj Digital Medicine.

Li, Mingchen, et al.. (2025). BuildingGPT: Query building semantic data using large language models and vector-graph retrieval-augmented generation. Building and Environment. 287. 113855–113855.

Li, Mingchen, Halil Kilicoglu, Hua Xu, & Rui Zhang. (2025). BiomedRAG: A retrieval augmented large language model for biomedicine. Journal of Biomedical Informatics. 162. 104769–104769. 16 indexed citations

Li, Mingchen, Kai Luo, Xu Sun, et al.. (2025). Gpbar1-mediated SIRT1-PGC-1α axis maintains mitochondrial homeostasis and mitigates renal injury in obstructive jaundice. Scientific Reports. 15(1). 21425–21425. 1 indexed citations

Li, Mingchen, et al.. (2024). FuseLinker: Leveraging LLM’s pre-trained text embeddings and domain knowledge to enhance GNN-based link prediction on biomedical knowledge graphs. Journal of Biomedical Informatics. 158. 104730–104730. 4 indexed citations

Li, Mingchen & Ying Liang. (2024). Prediction Method of Grinding Process Parameters for a Segment Based on Knowledge Graph. 808–811. 1 indexed citations

Li, Mingchen, et al.. (2024). RT: a Retrieving and Chain-of-Thought framework for few-shot medical named entity recognition. Journal of the American Medical Informatics Association. 31(9). 1929–1938. 24 indexed citations

Chen, Keyu, et al.. (2024). Epi-Curriculum: Episodic Curriculum Learning for Low-Resource Domain Adaptation in Neural Machine Translation. IEEE Transactions on Artificial Intelligence. 5(12). 6095–6108. 4 indexed citations

10.

Li, Mingchen, et al.. (2022). A Hierarchical N-Gram Framework for Zero-Shot Link Prediction. 2498–2509. 3 indexed citations

11.

Li, Mingchen, et al.. (2021). On the Marginal Benefit of Active Learning: Does Self-Supervision Eat its Cake?. 3455–3459. 5 indexed citations

12.

Yang, Dingkang, et al.. (2021). Learning Associative Representation for Facial Expression Recognition. 889–893. 14 indexed citations

13.

Niu, Huimin, Xin Yang, Mingchen Li, et al.. (2020). Electrochemiluminescence Detection of Sunset Yellow by Graphene Quantum Dots. Frontiers in Chemistry. 8. 505–505. 18 indexed citations

14.

Li, Mingchen, Mahdi Soltanolkotabi, & Samet Oymak. (2019). Gradient Descent with Early Stopping is Provably Robust to Label Noise for Overparameterized Neural Networks. International Conference on Artificial Intelligence and Statistics. 4313–4324. 6 indexed citations

15.

Pan, Peng, Li Tu, Huimin Niu, et al.. (2019). Novel Detection of Acrylamide by Electrochemiluminescence Sensor and Optical Imaging Analysis. International Journal of Electrochemical Science. 14(8). 7380–7388. 5 indexed citations

16.

Li, Mingchen, et al.. (2019). Research on Traceability Algorithm of Logistics Service Transaction Based on Blockchain. 186–189. 5 indexed citations

17.

Li, Mingchen, et al.. (2018). Robust 3-D Human Detection in Complex Environments With a Depth Camera. IEEE Transactions on Multimedia. 20(9). 2249–2261. 27 indexed citations

18.

Li, Mingchen, et al.. (2017). Robust human detection with super-pixel segmentation and random ferns classification using RGB-D camera. 1542–1547. 6 indexed citations

19.

Li, Mingchen, et al.. (2016). Experimental validation of diffusion coefficient identification using a multi-robot system. 1–4. 1 indexed citations

20.

Zhang, Guyue, et al.. (2016). Reliably detecting humans in crowded and dynamic environments using RGB-D camera. 1–6. 8 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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