Zenghui Cheng

2.6k total citations · 1 hit paper
34 papers, 1.7k citations indexed

About

Zenghui Cheng is a scholar working on Radiology, Nuclear Medicine and Imaging, Neurology and Infectious Diseases. According to data from OpenAlex, Zenghui Cheng has authored 34 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Radiology, Nuclear Medicine and Imaging, 12 papers in Neurology and 8 papers in Infectious Diseases. Recurrent topics in Zenghui Cheng's work include Parkinson's Disease Mechanisms and Treatments (10 papers), COVID-19 Clinical Research Studies (8 papers) and COVID-19 diagnosis using AI (8 papers). Zenghui Cheng is often cited by papers focused on Parkinson's Disease Mechanisms and Treatments (10 papers), COVID-19 Clinical Research Studies (8 papers) and COVID-19 diagnosis using AI (8 papers). Zenghui Cheng collaborates with scholars based in China, United States and Belgium. Zenghui Cheng's co-authors include Fuhua Yan, Le Qin, Wenjie Yang, Qiqi Cao, Qingfeng Sun, Jianyi Dai, Ashan Pan, Xiaoyang Wang, Jieming Qu and Yong Lü and has published in prestigious journals such as Advanced Materials, SHILAP Revista de lepidopterología and NeuroImage.

In The Last Decade

Zenghui Cheng

31 papers receiving 1.7k citations

Hit Papers

Clinical characteristics and imaging manifestations of th... 2020 2026 2022 2024 2020 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zenghui Cheng China 16 788 579 544 337 282 34 1.7k
Zhiyong Zhang China 16 582 0.7× 600 1.0× 286 0.5× 285 0.8× 251 0.9× 70 1.7k
Aidin Abedi United States 13 618 0.8× 719 1.2× 247 0.5× 212 0.6× 245 0.9× 55 1.5k
Heshui Shi China 16 852 1.1× 784 1.4× 610 1.1× 250 0.7× 529 1.9× 67 1.8k
Lu Huang China 14 607 0.8× 718 1.2× 370 0.7× 148 0.4× 173 0.6× 57 1.5k
Xianxiang Zhang China 14 564 0.7× 405 0.7× 284 0.5× 212 0.6× 127 0.5× 41 1.2k
Sufang Tian China 12 1.3k 1.6× 307 0.5× 633 1.2× 357 1.1× 380 1.3× 41 2.0k
Bin Lin China 13 1.0k 1.3× 1.2k 2.0× 321 0.6× 333 1.0× 271 1.0× 29 2.1k
Kaiyue Diao China 11 964 1.2× 1.4k 2.4× 304 0.6× 298 0.9× 284 1.0× 29 2.2k
Bing Fan China 13 620 0.8× 826 1.4× 224 0.4× 179 0.5× 200 0.7× 72 1.5k
Tianhe Ye China 11 1.4k 1.8× 1.2k 2.0× 659 1.2× 442 1.3× 425 1.5× 25 2.4k

Countries citing papers authored by Zenghui Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Zenghui Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zenghui Cheng

This figure shows the co-authorship network connecting the top 25 collaborators of Zenghui Cheng. A scholar is included among the top collaborators of Zenghui Cheng 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 Zenghui Cheng. Zenghui Cheng 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
1.
Cheng, Zenghui, et al.. (2025). TJCMNet: An Efficient Vision-Text Joint Identity Clues Mining Network for Visible-Infrared Person Re-Identification. IEEE Signal Processing Letters. 32. 1615–1619.
2.
Li, Jingyi, Xue Jiang, Qirui Wang, et al.. (2025). Mitochondria Rewiring by Polyphenol‐Copper Nanodots to Truncate Mitochondrial‐Endoplasmic Reticulum Crosstalk for Acute Kidney Injury Therapy. Advanced Materials. 38(6). e08379–e08379.
3.
Zhou, Jia, Hao Wu, Zeqi Zhang, et al.. (2025). Modeling the impact of legacy nitrogen accumulated in agricultural soil-groundwater on water quality improvement. SHILAP Revista de lepidopterología. 20(8). 84008–84008.
4.
He, Naying, Yan Li, Pei Huang, et al.. (2024). Enhancing Nigrosome‐1 Sign Identification via Interpretable AI using True Susceptibility Weighted Imaging. Journal of Magnetic Resonance Imaging. 60(5). 1904–1915. 3 indexed citations
5.
Li, Chengqiang, Yuqin Cao, Shengguang Zhao, et al.. (2024). CT radiomics to predict pathologic complete response after neoadjuvant immunotherapy plus chemoradiotherapy in locally advanced esophageal squamous cell carcinoma. European Radiology. 35(3). 1594–1604. 5 indexed citations
6.
Wang, Xinhui, Youmin Zhang, Pei Huang, et al.. (2024). PENCIL imaging: A novel approach for neuromelanin sensitive MRI in Parkinson's disease. NeuroImage. 291. 120588–120588. 2 indexed citations
7.
Huang, Pei, Xiaobing Zhang, Zenghui Cheng, et al.. (2024). MRI index of glymphatic system mediates the influence of locus coeruleus on cognition in Parkinson's disease. Parkinsonism & Related Disorders. 123. 106558–106558. 8 indexed citations
8.
Wang, Yida, Naying He, Chunyan Zhang, et al.. (2023). An automatic interpretable deep learning pipeline for accurate Parkinson's disease diagnosis using quantitative susceptibility mapping and T1‐weighted images. Human Brain Mapping. 44(12). 4426–4438. 21 indexed citations
9.
Cheng, Zenghui, Min Yuan, Yanling Feng, et al.. (2022). CT perfusion imaging can detect residual lung tumor early after radiofrequency ablation: a preliminary animal study on both tumoral and peri-tumoral region assessment. Journal of Thoracic Disease. 14(1). 64–75. 5 indexed citations
11.
He, Naying, Qian Wang, Feng Shi, et al.. (2021). Stability of AI-Enabled Diagnosis of Parkinson’s Disease: A Study Targeting Substantia Nigra in Quantitative Susceptibility Mapping Imaging. Frontiers in Neuroscience. 15. 760975–760975. 5 indexed citations
12.
Cheng, Zenghui, Le Qin, Qiqi Cao, et al.. (2020). Quantitative computed tomography of the coronavirus disease 2019 (COVID-19) pneumonia. PubMed. 7(2). 55–61. 29 indexed citations
13.
Yang, Wenjie, Qiqi Cao, Le Qin, et al.. (2020). Clinical characteristics and imaging manifestations of the 2019 novel coronavirus disease (COVID-19):A multi-center study in Wenzhou city, Zhejiang, China. Journal of Infection. 80(4). 388–393. 681 indexed citations breakdown →
14.
Tan, Yiqing, Xiaoyang Wang, Wenjie Yang, et al.. (2020). COVID-19 patients with progressive and non-progressive CT manifestations. PubMed. 7(3). 97–105. 2 indexed citations
15.
Qin, Le, Yanzhao Yang, Qiqi Cao, et al.. (2020). A predictive model and scoring system combining clinical and CT characteristics for the diagnosis of COVID-19. European Radiology. 30(12). 6797–6807. 35 indexed citations
16.
Cheng, Zenghui, Naying He, Pei Huang, et al.. (2019). Imaging the Nigrosome 1 in the substantia nigra using susceptibility weighted imaging and quantitative susceptibility mapping: An application to Parkinson's disease. NeuroImage Clinical. 25. 102103–102103. 73 indexed citations
17.
He, Naying, Qian Wang, Zenghui Cheng, et al.. (2019). Quantitative susceptibility mapping based hybrid feature extraction for diagnosis of Parkinson's disease. NeuroImage Clinical. 24. 102070–102070. 52 indexed citations
18.
Cheng, Zenghui, Jiping Zhang, Naying He, et al.. (2019). Radiomic Features of the Nigrosome-1 Region of the Substantia Nigra: Using Quantitative Susceptibility Mapping to Assist the Diagnosis of Idiopathic Parkinson's Disease. Frontiers in Aging Neuroscience. 11. 167–167. 55 indexed citations
19.
Zheng, Jianghua, Lin Wang, Zenghui Cheng, et al.. (2018). Molecular Changes of Lung Malignancy in HIV Infection. Scientific Reports. 8(1). 13128–13128. 11 indexed citations
20.
Cheng, Zenghui, Fei Shan, Jinxin Liu, et al.. (2017). Clinical and computed tomography findings in C hinese lung cancer patients with HIV infection: A multi‐center study. Thoracic Cancer. 8(3). 238–245. 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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