Zengchen Yu

799 total citations
10 papers, 491 citations indexed

About

Zengchen Yu is a scholar working on Health Information Management, Artificial Intelligence and Neurology. According to data from OpenAlex, Zengchen Yu has authored 10 papers receiving a total of 491 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Health Information Management, 4 papers in Artificial Intelligence and 4 papers in Neurology. Recurrent topics in Zengchen Yu's work include Artificial Intelligence in Healthcare (4 papers), Brain Tumor Detection and Classification (4 papers) and Machine Learning in Healthcare (3 papers). Zengchen Yu is often cited by papers focused on Artificial Intelligence in Healthcare (4 papers), Brain Tumor Detection and Classification (4 papers) and Machine Learning in Healthcare (3 papers). Zengchen Yu collaborates with scholars based in China, Sweden and Saudi Arabia. Zengchen Yu's co-authors include Zhihan Lv, Shuxuan Xie, Zhibo Wan, Haibin Lv, Youqiang Dong, Syed Umar Amin, Musaed Alhussein, Atif Alamri, Ke Wang and Gang Luo and has published in prestigious journals such as IEEE Access, Frontiers in Neuroscience and Future Generation Computer Systems.

In The Last Decade

Zengchen Yu

9 papers receiving 459 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Zengchen Yu China	8	128	121	64	57	48	10	491
Shuxuan Xie China	10	147 1.1×	135 1.1×	69 1.1×	51 0.9×	66 1.4×	14	633
Tae Joon Jun South Korea	11	86 0.7×	99 0.8×	51 0.8×	33 0.6×	53 1.1×	46	397
Muhannad A. Abu‐Hashem Saudi Arabia	7	181 1.4×	79 0.7×	45 0.7×	41 0.7×	60 1.3×	19	558
Ahmed Izzat Alsalibi Jordan	4	130 1.0×	76 0.6×	41 0.6×	40 0.7×	18 0.4×	5	406
Megha Bhushan India	14	200 1.6×	135 1.1×	39 0.6×	112 2.0×	74 1.5×	39	488
Firdaus Firdaus Indonesia	18	199 1.6×	99 0.8×	143 2.2×	50 0.9×	64 1.3×	123	1.0k
Mohammad Amin Morid United States	12	293 2.3×	182 1.5×	125 2.0×	64 1.1×	59 1.2×	20	774
Dhirendra Prasad Yadav India	11	155 1.2×	151 1.2×	105 1.6×	50 0.9×	56 1.2×	53	635
Necaattin Barışçı Türkiye	12	90 0.7×	120 1.0×	56 0.9×	40 0.7×	43 0.9×	57	525
Leandro A. Passos Brazil	15	211 1.6×	142 1.2×	73 1.1×	39 0.7×	32 0.7×	48	666

Countries citing papers authored by Zengchen Yu

Since Specialization

Citations

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

Fields of papers citing papers by Zengchen Yu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zengchen Yu

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

All Works

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10 of 10 papers shown

Yu, Zengchen, Ke Wang, Zhibo Wan, Shuxuan Xie, & Zhihan Lv. (2022). Popular deep learning algorithms for disease prediction: a review. Cluster Computing. 26(2). 1231–1251. 64 indexed citations

Wang, Chengyuan, Junli Zhao, Zengchen Yu, et al.. (2022). Real-Time Foreign Object and Production Status Detection of Tobacco Cabinets Based on Deep Learning. Applied Sciences. 12(20). 10347–10347. 7 indexed citations

Wang, Chengyuan, Junli Zhao, Zengchen Yu, et al.. (2022). The Safety Status and Foreign Object Detection Model of Tobacco Cabinets Based on Deep Learning with IoT-Cloud. 292–297.

Lv, Zhihan, Zengchen Yu, Shuxuan Xie, & Atif Alamri. (2022). Deep Learning-based Smart Predictive Evaluation for Interactive Multimedia-enabled Smart Healthcare. ACM Transactions on Multimedia Computing Communications and Applications. 18(1s). 1–20. 68 indexed citations

Yu, Zengchen, Ke Wang, Zhibo Wan, Shuxuan Xie, & Zhihan Lv. (2022). FMCPNN in Digital Twins Smart Healthcare. IEEE Consumer Electronics Magazine. 12(4). 66–73. 11 indexed citations

Yu, Zengchen, et al.. (2022). Prototypical Network Based on Manhattan Distance. Computer Modeling in Engineering & Sciences. 131(2). 655–675. 7 indexed citations

Wan, Zhibo, Youqiang Dong, Zengchen Yu, Haibin Lv, & Zhihan Lv. (2021). Semi-Supervised Support Vector Machine for Digital Twins Based Brain Image Fusion. Frontiers in Neuroscience. 15. 705323–705323. 110 indexed citations

Xie, Shuxuan, Zengchen Yu, & Zhihan Lv. (2021). Multi-Disease Prediction Based on Deep Learning: A Survey. Computer Modeling in Engineering & Sciences. 128(2). 489–522. 122 indexed citations

Qiao, Sibo, Shanchen Pang, Gang Luo, et al.. (2021). RLDS: An explainable residual learning diagnosis system for fetal congenital heart disease. Future Generation Computer Systems. 128. 205–218. 29 indexed citations

10.

Yu, Zengchen, Syed Umar Amin, Musaed Alhussein, & Zhihan Lv. (2021). Research on Disease Prediction Based on Improved DeepFM and IoMT. IEEE Access. 9. 39043–39054. 73 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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