Zhongyi Hu

2.9k total citations · 1 hit paper
123 papers, 2.2k citations indexed

About

Zhongyi Hu is a scholar working on Infectious Diseases, Epidemiology and Molecular Biology. According to data from OpenAlex, Zhongyi Hu has authored 123 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Infectious Diseases, 39 papers in Epidemiology and 26 papers in Molecular Biology. Recurrent topics in Zhongyi Hu's work include Tuberculosis Research and Epidemiology (43 papers), Mycobacterium research and diagnosis (34 papers) and Infectious Diseases and Tuberculosis (12 papers). Zhongyi Hu is often cited by papers focused on Tuberculosis Research and Epidemiology (43 papers), Mycobacterium research and diagnosis (34 papers) and Infectious Diseases and Tuberculosis (12 papers). Zhongyi Hu collaborates with scholars based in China, United States and Iran. Zhongyi Hu's co-authors include Yukun Bao, Tao Xiong, Hui Huang, Zhenling Cui, Minghai Xu, Junmei Lu, Yang Li, Yuzhu Guo, Huiling Chen and Yü Liu and has published in prestigious journals such as PLoS ONE, Scientific Reports and Biochemical and Biophysical Research Communications.

In The Last Decade

Zhongyi Hu

118 papers receiving 2.1k citations

Hit Papers

Review and empirical anal... 2023 2026 2024 2023 40 80 120

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zhongyi Hu China 27 563 524 423 292 275 123 2.2k
Jonathan Weber France 21 1.4k 2.5× 240 0.5× 118 0.3× 112 0.4× 439 1.6× 67 3.4k
Salem A. Alyami Saudi Arabia 23 428 0.8× 226 0.4× 68 0.2× 169 0.6× 255 0.9× 92 1.9k
Hongru Li China 23 282 0.5× 101 0.2× 110 0.3× 168 0.6× 230 0.8× 183 1.7k
Tae-Hwan Kim South Korea 30 264 0.5× 80 0.2× 363 0.9× 302 1.0× 157 0.6× 214 3.3k
Xiaowei Xu China 19 365 0.6× 98 0.2× 107 0.3× 100 0.3× 419 1.5× 138 1.8k
Hanxiang Wang China 24 437 0.8× 139 0.3× 107 0.3× 196 0.7× 567 2.1× 74 2.7k
Duncan Gillies United Kingdom 17 394 0.7× 61 0.1× 149 0.4× 345 1.2× 383 1.4× 70 1.6k
Takayoshi Yamashita Japan 20 508 0.9× 239 0.5× 111 0.3× 122 0.4× 1.0k 3.7× 139 2.5k
Anirban Mukherjee India 23 296 0.5× 60 0.1× 135 0.3× 156 0.5× 422 1.5× 197 2.0k
Ulisses Braga-Neto United States 33 636 1.1× 281 0.5× 85 0.2× 1.3k 4.5× 387 1.4× 135 3.4k

Countries citing papers authored by Zhongyi Hu

Since Specialization
Citations

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

Fields of papers citing papers by Zhongyi Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhongyi Hu

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

All Works

20 of 20 papers shown
2.
Hu, Zhongyi, et al.. (2024). RepBoTNet-CESA: An Alzheimer’s Disease Computer Aided Diagnosis Method Using Structural Reparameterization BoTNet and Cubic Embedding Self Attention. Computers, materials & continua/Computers, materials & continua (Print). 79(2). 2879–2905. 1 indexed citations
3.
Wang, Qinyong, et al.. (2024). Enhancing Personalized Recommendations: A Study on the Efficacy of Multi-Task Learning and Feature Integration. Information. 15(6). 312–312. 1 indexed citations
4.
Yue, Yinggao, et al.. (2023). Effective detection of Alzheimer's disease by optimizing fuzzy K-nearest neighbors based on salp swarm algorithm. Computers in Biology and Medicine. 159. 106930–106930. 31 indexed citations
6.
Xu, Shuhua, et al.. (2023). Image Restoration under Cauchy Noise: A Group Sparse Representation and Multidirectional Total Generalized Variation Approach. Traitement du signal. 40(3). 857–873. 2 indexed citations
7.
Hu, Zhongyi, et al.. (2023). A TDOA/AOA Hybrid Positioning Based on Improved Sparrow Search Algorithm for Mobile Position Estimation. Wireless Communications and Mobile Computing. 2023. 1–18. 2 indexed citations
8.
Li, Zuoyong, et al.. (2023). Research of spatial context convolutional neural networks for early diagnosis of Alzheimer’s disease. The Journal of Supercomputing. 80(4). 5279–5297. 17 indexed citations
9.
Li, Zuoyong, Hui Huang, Lei Xiao, et al.. (2022). Hierarchical Harris hawks optimization for epileptic seizure classification. Computers in Biology and Medicine. 145. 105397–105397. 27 indexed citations
10.
Hu, Zhongyi, et al.. (2020). Determination of 3-nitropropionic acid in sugarcane by solid phase ultra performance liquid chromatography tandem mass spectrometry.. Shipin anquan zhiliang jiance xuebao. 11(2). 521–527. 1 indexed citations
11.
Li, Yang, Yü Liu, Weigang Cui, et al.. (2020). Epileptic Seizure Detection in EEG Signals Using a Unified Temporal-Spectral Squeeze-and-Excitation Network. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 28(4). 782–794. 208 indexed citations
12.
Hu, Zhongyi, Ali Asghar Heidari, Mingjing Wang, et al.. (2020). Orthogonally-designed adapted grasshopper optimization: A comprehensive analysis. Expert Systems with Applications. 150. 113282–113282. 60 indexed citations
13.
Luo, Jie, Huiling Chen, Zhongyi Hu, et al.. (2019). A New Kernel Extreme Learning Machine Framework for Somatization Disorder Diagnosis. IEEE Access. 7. 45512–45525. 30 indexed citations
14.
Yang, Hua, Wei Sha, Peng Song, et al.. (2015). Screening and identification of immunoactive peptide mimotopes for the enhanced serodiagnosis of tuberculosis. Applied Microbiology and Biotechnology. 100(5). 2279–2287. 5 indexed citations
15.
Guo, Qi, Jue Li, & Zhongyi Hu. (2013). Meta-analysis of pyrosequencing for the rapid detection of isoniazid-resistance in Mycobacterium tuberculosis. Zhonghua jianyan yixue zazhi. 36(4). 329–332. 1 indexed citations
16.
Yang, Hua, Haizhen Chen, Zhonghua Liu, et al.. (2013). A Novel B-Cell Epitope Identified within Mycobacterium tuberculosis CFP10/ESAT-6 Protein. PLoS ONE. 8(1). e52848–e52848. 13 indexed citations
17.
Ma, Jun, et al.. (2010). Histocytology Observation on the Somatic Embryogenesis in Ananas comosus Callus. Acta Horticulturae Sinica. 37(5). 689–696. 10 indexed citations
18.
Zheng, Ruijuan, Jie Wang, Lianhua Qin, Junmei Lu, & Zhongyi Hu. (2008). [Evaluation of pyrosequencing for the detection of rpoB gene mutation in Mycobacterium tuberculosis].. PubMed. 42(2). 77–80. 1 indexed citations
19.
Hu, Zhongyi. (2008). Establishment a dual antibody sandwich ELISA to detect secretion protein of Mycobacterium tuberculosis. Zhongguo shouyi xuebao. 1 indexed citations
20.
Hu, Zhongyi, et al.. (2008). Evaluation of TB-SA antibody test in clinical diagnosis of tuberculosis. Journal of Tongji University. 1 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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