Mengdi Huai

70 total papers · 1.0k total citations
43 papers, 580 citations indexed

About

Mengdi Huai is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Health Information Management. According to data from OpenAlex, Mengdi Huai has authored 43 papers receiving a total of 580 indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Artificial Intelligence, 7 papers in Computer Vision and Pattern Recognition and 6 papers in Health Information Management. Recurrent topics in Mengdi Huai's work include Privacy-Preserving Technologies in Data (9 papers), Machine Learning in Healthcare (8 papers) and Adversarial Robustness in Machine Learning (8 papers). Mengdi Huai is often cited by papers focused on Privacy-Preserving Technologies in Data (9 papers), Machine Learning in Healthcare (8 papers) and Adversarial Robustness in Machine Learning (8 papers). Mengdi Huai collaborates with scholars based in United States, China and Saudi Arabia. Mengdi Huai's co-authors include Aidong Zhang, Jing Gao, Chenglin Miao, Lü Su, Qiuling Suo, Fenglong Ma, Liuyi Yao, Weida Zhong, Ye Yuan and Yaliang Li and has published in prestigious journals such as IEEE Transactions on Knowledge and Data Engineering, Journal of Biomedical Informatics and AI Magazine.

In The Last Decade

Mengdi Huai

42 papers receiving 569 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Mengdi Huai	414	79	75	62	59	43	580
Katsuari Kamei	389 0.9×	45 0.6×	13 0.2×	71 1.1×	13 0.2×	58	599
Eric W. Cooper	356 0.9×	45 0.6×	12 0.2×	62 1.0×	7 0.1×	50	582
António Garrido	262 0.6×	29 0.4×	97 1.3×	59 1.0×	7 0.1×	41	689
İnci M. Baytaş	401 1.0×	118 1.5×	13 0.2×	69 1.1×	9 0.2×	17	562
Georgios Theocharous	315 0.8×	13 0.2×	20 0.3×	131 2.1×	21 0.4×	40	549
Veera Boonjing	247 0.6×	94 1.2×	13 0.2×	53 0.9×	4 0.1×	57	549
Luís P. F. Garcia	531 1.3×	13 0.2×	9 0.1×	72 1.2×	20 0.3×	38	658
Daby Sow	234 0.6×	102 1.3×	7 0.1×	192 3.1×	12 0.2×	58	688
Alexander Rind	206 0.5×	38 0.5×	12 0.2×	477 7.7×	9 0.2×	40	673
Malik Muhammad Saad Missen	212 0.5×	32 0.4×	9 0.1×	196 3.2×	8 0.1×	54	612

Countries citing papers authored by Mengdi Huai

Since Specialization

Citations

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

Fields of papers citing papers by Mengdi Huai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mengdi Huai

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

All Works

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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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