Liming Zhong

1.1k total citations
40 papers, 490 citations indexed

About

Liming Zhong is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Liming Zhong has authored 40 papers receiving a total of 490 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Radiology, Nuclear Medicine and Imaging, 12 papers in Biomedical Engineering and 7 papers in Computer Vision and Pattern Recognition. Recurrent topics in Liming Zhong's work include Radiomics and Machine Learning in Medical Imaging (17 papers), Medical Imaging Techniques and Applications (13 papers) and Advanced X-ray and CT Imaging (9 papers). Liming Zhong is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (17 papers), Medical Imaging Techniques and Applications (13 papers) and Advanced X-ray and CT Imaging (9 papers). Liming Zhong collaborates with scholars based in China, United States and Singapore. Liming Zhong's co-authors include Wei Yang, Qianjin Feng, Wufan Chen, Zhentai Lu, Yunbi Liu, Haiyan Du, Zhenhui Dai, Genggeng Qin, Zhaoqiang Yun and Yanlin Chen and has published in prestigious journals such as SHILAP Revista de lepidopterología, NeuroImage and IEEE Access.

In The Last Decade

Liming Zhong

37 papers receiving 484 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Liming Zhong China 12 303 141 101 96 81 40 490
Zhenhui Dai China 11 267 0.9× 127 0.9× 80 0.8× 52 0.5× 73 0.9× 34 464
Bingjiang Qiu China 12 194 0.6× 120 0.9× 149 1.5× 104 1.1× 114 1.4× 23 484
Susan G. Brouwer de Koning Netherlands 15 264 0.9× 206 1.5× 42 0.4× 31 0.3× 49 0.6× 25 563
Shangqing Liu China 7 265 0.9× 87 0.6× 124 1.2× 161 1.7× 10 0.1× 14 414
Xuanang Xu United States 13 312 1.0× 150 1.1× 240 2.4× 237 2.5× 31 0.4× 33 657
Keh‐Shih Chuang Taiwan 15 352 1.2× 187 1.3× 41 0.4× 171 1.8× 19 0.2× 78 704
Zhe Guo China 10 217 0.7× 80 0.6× 117 1.2× 134 1.4× 8 0.1× 36 576
Fan Tang China 8 108 0.4× 62 0.4× 42 0.4× 44 0.5× 22 0.3× 19 303
Avi Ben-Cohen Israel 8 262 0.9× 118 0.8× 209 2.1× 100 1.0× 23 0.3× 10 594

Countries citing papers authored by Liming Zhong

Since Specialization
Citations

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

Fields of papers citing papers by Liming Zhong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liming Zhong

This figure shows the co-authorship network connecting the top 25 collaborators of Liming Zhong. A scholar is included among the top collaborators of Liming Zhong 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 Liming Zhong. Liming Zhong 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.
Huang, Xiao‐Jun, Liming Zhong, Chao Li, & Yu Tang. (2025). Systematic evaluation of risk prediction models for feeding intolerance in ICU patients during enteral nutrition.. PubMed. 34(4). 577–588.
2.
Han, Tao, et al.. (2024). Efficacy and safety of a panthenol‐enriched mask for individuals with distinct impaired skin barrier subtypes. Journal of Cosmetic Dermatology. 23(6). 2109–2116. 3 indexed citations
3.
Zhang, Yiwen, et al.. (2024). DoseDiff: Distance-Aware Diffusion Model for Dose Prediction in Radiotherapy. IEEE Transactions on Medical Imaging. 43(10). 3621–3633. 8 indexed citations
4.
Chen, Weicui, Kaiyi Zheng, W. L. Yuan, et al.. (2024). A CT-based deep learning for segmenting tumors and predicting microsatellite instability in patients with colorectal cancers: a multicenter cohort study. La radiologia medica. 130(2). 214–225. 1 indexed citations
5.
Li, Xinming, Jianye Liang, Liming Zhong, et al.. (2024). A novel stratification scheme combined with internal arteries in CT imaging for guiding postoperative adjuvant transarterial chemoembolization in hepatocellular carcinoma: a retrospective cohort study. International Journal of Surgery. 110(5). 2556–2567. 4 indexed citations
6.
Zhong, Liming, Hai Shu, Kaiyi Zheng, et al.. (2024). NCCT-to-CECT synthesis with contrast-enhanced knowledge and anatomical perception for multi-organ segmentation in non-contrast CT images. Medical Image Analysis. 100. 103397–103397. 1 indexed citations
7.
8.
Chen, Junhua, et al.. (2023). Whole mandibular canal segmentation using transformed dental CBCT volume in Frenet frame. Heliyon. 9(7). e17651–e17651. 6 indexed citations
9.
Li, Yin, Kaiyi Zheng, Shuang Li, et al.. (2023). A transformer-based multi-task deep learning model for simultaneous infiltrated brain area identification and segmentation of gliomas. Cancer Imaging. 23(1). 105–105. 5 indexed citations
10.
Zhong, Liming, Hai Shu, Yiwen Zhang, et al.. (2023). United multi-task learning for abdominal contrast-enhanced CT synthesis through joint deformable registration. Computer Methods and Programs in Biomedicine. 231. 107391–107391. 7 indexed citations
11.
Zhang, Yiwen, Liming Zhong, Hai Shu, et al.. (2022). Cross-Task Feedback Fusion GAN for Joint MR-CT Synthesis and Segmentation of Target and Organs-at-Risk. IEEE Transactions on Artificial Intelligence. 4(5). 1246–1257. 7 indexed citations
12.
13.
Zhang, Bin, Zhouyang Lian, Liming Zhong, et al.. (2020). Machine-learning based MRI radiomics models for early detection of radiation-induced brain injury in nasopharyngeal carcinoma. BMC Cancer. 20(1). 502–502. 51 indexed citations
14.
Zhong, Liming, Xiao Zhang, Zhouyang Lian, et al.. (2020). Deep Longitudinal Feature Representations for Detection of Postradiotherapy Brain Injury at Presymptomatic Stage. IEEE Access. 8. 184710–184721. 4 indexed citations
15.
Zhong, Liming, Tengfei Li, Hai Shu, et al.. (2020). (TS)2WM: Tumor Segmentation and Tract Statistics for Assessing White Matter Integrity with Applications to Glioblastoma Patients. NeuroImage. 223. 117368–117368. 12 indexed citations
16.
Zhong, Liming, Yanlin Chen, Xiao Zhang, et al.. (2019). Flexible Prediction of CT Images From MRI Data Through Improved Neighborhood Anchored Regression for PET Attenuation Correction. IEEE Journal of Biomedical and Health Informatics. 24(4). 1114–1124. 10 indexed citations
17.
Yang, Wei, Yunbi Liu, Liming Zhong, et al.. (2016). Cascade of multi-scale convolutional neural networks for bone suppression of chest radiographs in gradient domain. Medical Image Analysis. 35. 421–433. 81 indexed citations
18.
Yang, Wei, Lijun Lu, Zhentai Lu, et al.. (2016). Prediction of CT Substitutes from MR Images Based on Local Diffeomorphic Mapping for Brain PET Attenuation Correction. Journal of Nuclear Medicine. 57(10). 1635–1641. 16 indexed citations
19.
Zhong, Liming, et al.. (2015). High-dose immunosuppressant alters the immunological status of New Zealand white rabbits following skin transplantation. Experimental and Therapeutic Medicine. 10(3). 1003–1008. 1 indexed citations
20.
Yap, Roland H. C., et al.. (2004). A Machine-Oriented Vulnerability Database for Automated Vulnerability Detection and Processing. USENIX Large Installation Systems Administration Conference. 14(1). 47–58. 4 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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