Linhan Zhang

423 total citations
21 papers, 300 citations indexed

About

Linhan Zhang is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Hepatology. According to data from OpenAlex, Linhan Zhang has authored 21 papers receiving a total of 300 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Radiology, Nuclear Medicine and Imaging, 5 papers in Pulmonary and Respiratory Medicine and 4 papers in Hepatology. Recurrent topics in Linhan Zhang's work include Radiomics and Machine Learning in Medical Imaging (8 papers), Hepatocellular Carcinoma Treatment and Prognosis (4 papers) and Renal cell carcinoma treatment (2 papers). Linhan Zhang is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (8 papers), Hepatocellular Carcinoma Treatment and Prognosis (4 papers) and Renal cell carcinoma treatment (2 papers). Linhan Zhang collaborates with scholars based in China, Australia and Hong Kong. Linhan Zhang's co-authors include Wei Han, Lifan Wang, Yangyang Wang, Xuelong Li, Jingjing Meng, Longkang Wang, Zhen Li, Peng Fu, Huijie Jiang and Yuxin Jiang and has published in prestigious journals such as Biochemical and Biophysical Research Communications, Enzyme and Microbial Technology and Advanced Healthcare Materials.

In The Last Decade

Linhan Zhang

19 papers receiving 299 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Linhan Zhang China 9 107 103 78 63 47 21 300
Feiyue Sun China 6 131 1.2× 77 0.7× 7 0.1× 89 1.4× 27 0.6× 19 318
Meng‐Yun Qiang China 11 19 0.2× 38 0.4× 121 1.6× 19 0.3× 81 1.7× 25 357
Peiping Li China 13 121 1.1× 102 1.0× 17 0.2× 6 0.1× 56 1.2× 30 422
Weiguo Xiao China 13 53 0.5× 23 0.2× 12 0.2× 50 0.8× 10 0.2× 26 327
Qian Da China 10 63 0.6× 26 0.3× 21 0.3× 86 1.4× 22 0.5× 24 314
Yuanchuan Zhang China 11 177 1.7× 147 1.4× 26 0.3× 17 0.3× 35 0.7× 20 353
Penghui Niu China 10 29 0.3× 29 0.3× 47 0.6× 17 0.3× 144 3.1× 45 295
Linyou Zhang China 13 175 1.6× 76 0.7× 24 0.3× 15 0.2× 130 2.8× 49 429
Feng Luo China 10 126 1.2× 31 0.3× 21 0.3× 10 0.2× 45 1.0× 41 319

Countries citing papers authored by Linhan Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Linhan Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Linhan Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Linhan Zhang. A scholar is included among the top collaborators of Linhan Zhang 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 Linhan Zhang. Linhan Zhang 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.
Jiao, Yuying, Linhan Zhang, Mengjiao Wang, et al.. (2025). Characterization of the glymphatic system and early-phase β-amyloid imaging in Alzheimer's disease: A simultaneous PET/MR study. Brain Research Bulletin. 226. 111368–111368.
2.
Zhao, Jie, Minghui Li, Qiong Wu, et al.. (2025). Targeted Reprogramming of TREM2‐Positive Macrophages and MRI‐Guided Immune Monitoring in Colorectal Cancer Using CSF1R@Mn@MPDA‐Antitrem2 Nanoplatform. Advanced Healthcare Materials. 14(18). e2501027–e2501027. 1 indexed citations
3.
Zhang, Linhan, Lin Xue, Sheng Zhao, et al.. (2024). Comparison of Tumor Non-specific and PD-L1 Specific Imaging by Near-Infrared Fluorescence/Cerenkov Luminescence Dual-Modality In-situ Imaging. Molecular Imaging. 23. 885441441–885441441.
4.
Zhang, Linhan, et al.. (2024). The association between ambient air pollution and colorectal cancer: a Mendelian randomization study. International Journal of Environmental Health Research. 35(2). 495–505. 5 indexed citations
5.
Wang, Dandan, et al.. (2023). A radiomics signature associated with underlying gene expression pattern for the prediction of prognosis and treatment response in hepatocellular carcinoma. European Journal of Radiology. 167. 111086–111086. 18 indexed citations
6.
Jiang, Yuxin, Linhan Zhang, & Wei Wang. (2023). Global and Local Hierarchy-aware Contrastive Framework for Implicit Discourse Relation Recognition. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 8048–8064. 5 indexed citations
7.
Li, Jinping, Sheng Zhao, Huijie Jiang, et al.. (2022). Quantitative dual-energy computed tomography texture analysis predicts the response of primary small hepatocellular carcinoma to radiofrequency ablation. Hepatobiliary & pancreatic diseases international. 21(6). 569–576. 4 indexed citations
8.
Zhang, Linhan, Sheng Zhao, Huijie Jiang, et al.. (2022). Radioimmunotherapy study of 131I-labeled Atezolizumab in preclinical models of colorectal cancer. EJNMMI Research. 12(1). 70–70. 3 indexed citations
9.
Wang, Dandan, Jinfeng Zhang, Linhan Zhang, et al.. (2022). Clinical-radiomics predictors to identify the suitability of transarterial chemoembolization treatment in intermediate-stage hepatocellular carcinoma: A multicenter study. Hepatobiliary & pancreatic diseases international. 22(6). 594–604. 8 indexed citations
10.
11.
Wang, Mengjiao, Peng Xu, Yuying Jiao, et al.. (2022). The Machine Learning Model for Distinguishing Pathological Subtypes of Non-Small Cell Lung Cancer. Frontiers in Oncology. 12. 875761–875761. 18 indexed citations
12.
Jiang, Yuxin, Linhan Zhang, & Sheng Wang. (2022). Improved Universal Sentence Embeddings with Prompt-based Contrastive Learning and Energy-based Learning. 3021–3035. 11 indexed citations
13.
14.
Zhang, Linhan, et al.. (2021). “Resurrected” human-source urate oxidase with high uricolytic activity and stability. Enzyme and Microbial Technology. 149. 109852–109852. 4 indexed citations
15.
Zhang, Linhan, et al.. (2021). Prediction model based on 18F-FDG PET/CT radiomic features and clinical factors of EGFR mutations in lung adenocarcinoma. Neoplasma. 69(1). 233–241. 13 indexed citations
16.
Wang, Jiafu, et al.. (2021). Systematic review & meta-analysis of positron emission tomography/computed tomography and bone scan in the diagnosis of prostate lesions. Translational Andrology and Urology. 10(11). 4231–4240. 3 indexed citations
17.
Zhang, Linhan, Huijie Jiang, Hong Zhao, et al.. (2021). 18F-FDG texture analysis predicts the pathological Fuhrman nuclear grade of clear cell renal cell carcinoma. Abdominal Radiology. 46(12). 5618–5628. 9 indexed citations
18.
Zhao, Sheng, et al.. (2021). Artificial Intelligent Multi-Modal Point-of-Care System for Predicting Response of Transarterial Chemoembolization in Hepatocellular Carcinoma. Frontiers in Bioengineering and Biotechnology. 9. 761548–761548. 5 indexed citations
19.
Liang, Yingjian, Dandan Zhang, Tongsen Zheng, et al.. (2020). lncRNA-SOX2OT promotes hepatocellular carcinoma invasion and metastasis through miR-122-5p-mediated activation of PKM2. Oncogenesis. 9(5). 54–54. 47 indexed citations
20.
Han, Wei, et al.. (2019). Circular RNA circ-RAD23B promotes cell growth and invasion by miR-593–3p/CCND2 and miR-653–5p/TIAM1 pathways in non-small cell lung cancer. Biochemical and Biophysical Research Communications. 510(3). 462–466. 61 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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