Lichi Zhang

1.7k total citations
69 papers, 921 citations indexed

About

Lichi Zhang is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Cognitive Neuroscience. According to data from OpenAlex, Lichi Zhang has authored 69 papers receiving a total of 921 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Radiology, Nuclear Medicine and Imaging, 26 papers in Computer Vision and Pattern Recognition and 18 papers in Cognitive Neuroscience. Recurrent topics in Lichi Zhang's work include Functional Brain Connectivity Studies (16 papers), Medical Image Segmentation Techniques (14 papers) and Radiomics and Machine Learning in Medical Imaging (11 papers). Lichi Zhang is often cited by papers focused on Functional Brain Connectivity Studies (16 papers), Medical Image Segmentation Techniques (14 papers) and Radiomics and Machine Learning in Medical Imaging (11 papers). Lichi Zhang collaborates with scholars based in China, United States and South Korea. Lichi Zhang's co-authors include Dinggang Shen, Qian Wang, Xiaobo Chen, Han Zhang, Seong‐Whan Lee, Lei Xiang, Dong Nie, Yu Qiao, Guorong Wu and Kai Xuan and has published in prestigious journals such as Circulation Research, Brain Research and Expert Systems with Applications.

In The Last Decade

Lichi Zhang

65 papers receiving 907 citations

Peers

Lichi Zhang
Ali Mahmoud United States
Jeffrey N. Chiang United States
Lasse Riis Østergaard Denmark
Ahmed A. Khalil Germany
Qingyu Zhao United States
Kirt Schaper United States
A. C. F. Colchester United Kingdom
Marianna La Rocca Italy
Delaram Sadeghi Australia
Ali Mahmoud United States
Lichi Zhang
Citations per year, relative to Lichi Zhang Lichi Zhang (= 1×) peers Ali Mahmoud

Countries citing papers authored by Lichi Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Lichi Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lichi Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Lichi Zhang. A scholar is included among the top collaborators of Lichi 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 Lichi Zhang. Lichi 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.
Wang, Sheng, et al.. (2025). Learning better contrastive view from radiologist’s gaze. Pattern Recognition. 162. 111350–111350. 1 indexed citations
2.
Li, Xiaomin, Xiangyu Zhao, Cunjian Chen, et al.. (2025). REHRSeg: Unleashing the power of self-supervised super-resolution for resource-efficient 3D MRI segmentation. Neurocomputing. 624. 129425–129425. 1 indexed citations
3.
Qi, Zengxin, Xin Wang, Xiangyu Zhao, et al.. (2025). Uni-COAL: A unified framework for cross-modality synthesis and super-resolution of MR images. Expert Systems with Applications. 270. 126241–126241. 3 indexed citations
4.
Bai, Lu, Lixin Cui, Ming Li, et al.. (2025). AEGK: Aligned Entropic Graph Kernels Through Continuous-Time Quantum Walks. IEEE Transactions on Knowledge and Data Engineering. 37(3). 1064–1078. 1 indexed citations
5.
Zhang, Run, Siyuan Chen, Hongjin Chen, et al.. (2025). SM22α-Lineage Perivascular Stromal Cells Contribute to Abdominal Aortic Aneurysm. Circulation Research. 137(1). 4–22. 3 indexed citations
6.
Zhang, Xin, et al.. (2024). Whole slide cervical cancer classification via graph attention networks and contrastive learning. Neurocomputing. 613. 128787–128787. 1 indexed citations
7.
Wang, Sheng, et al.. (2024). Guiding fusion of dynamic functional and effective connectivity in spatio-temporal graph neural network for brain disorder classification. Knowledge-Based Systems. 309. 112856–112856. 2 indexed citations
8.
Wang, Sheng, Kai Xuan, Zhenrong Shen, et al.. (2024). Spatial attention-based implicit neural representation for arbitrary reduction of MRI slice spacing. Medical Image Analysis. 94. 103158–103158. 2 indexed citations
9.
Shen, Zhenrong, et al.. (2024). Distillation of multi-class cervical lesion cell detection via synthesis-aided pre-training and patch-level feature alignment. Neural Networks. 178. 106405–106405. 4 indexed citations
10.
Zhang, Huifeng, Mianxin Liu, Dongdong Chen, et al.. (2024). Randomizing Human Brain Function Representation for Brain Disease Diagnosis. IEEE Transactions on Medical Imaging. 43(7). 2537–2546. 3 indexed citations
11.
12.
Zhang, Huifeng, Mianxin Liu, Rubai Zhou, et al.. (2024). Hierarchical Encoding and Fusion of Brain Functions for Depression Subtype Classification. IEEE Transactions on Affective Computing. 15(3). 1826–1837.
13.
Zhao, Xiangyu, Zengxin Qi, Sheng Wang, et al.. (2023). RCPS: Rectified Contrastive Pseudo Supervision for Semi-Supervised Medical Image Segmentation. IEEE Journal of Biomedical and Health Informatics. 28(1). 251–261. 43 indexed citations
14.
Wang, Yingying, Yi Wang, Guowei Hua, et al.. (2023). Changes of Functional Brain Network in Neonates with Different Degrees of Hypoxic–Ischemic Encephalopathy. Brain Connectivity. 13(7). 427–435. 5 indexed citations
15.
Zhang, Xin, et al.. (2023). Patch-to-Sample Reasoning for Cervical Cancer Screening of Whole Slide Image. IEEE Transactions on Artificial Intelligence. 5(6). 2779–2789. 8 indexed citations
16.
17.
Huo, Jiayu, Xi Ouyang, Kai Xuan, et al.. (2022). Automatic Grading Assessments for Knee MRI Cartilage Defects via Self-ensembling Semi-supervised Learning with Dual-Consistency. Medical Image Analysis. 80. 102508–102508. 17 indexed citations
18.
Li, Fan, et al.. (2021). Hippocampal shape and asymmetry analysis by cascaded convolutional neural networks for Alzheimer’s disease diagnosis. Brain Imaging and Behavior. 15(5). 2330–2339. 37 indexed citations
19.
Wang, Jun, Xiaorong Chen, Hongbing Lu, et al.. (2020). Feature‐shared adaptive‐boost deep learning for invasiveness classification of pulmonary subsolid nodules in CT images. Medical Physics. 47(4). 1738–1749. 25 indexed citations
20.
Zhang, Lichi, Dong Nie, Xiaohuan Cao, et al.. (2018). Automatic brain labeling via multi-atlas guided fully convolutional networks. Medical Image Analysis. 51. 157–168. 19 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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