Ji Zhu

539 total citations
12 papers, 105 citations indexed

About

Ji Zhu is a scholar working on Computer Vision and Pattern Recognition, Radiation and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Ji Zhu has authored 12 papers receiving a total of 105 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 4 papers in Radiation and 3 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Ji Zhu's work include Video Surveillance and Tracking Methods (6 papers), Human Pose and Action Recognition (5 papers) and Advanced Radiotherapy Techniques (4 papers). Ji Zhu is often cited by papers focused on Video Surveillance and Tracking Methods (6 papers), Human Pose and Action Recognition (5 papers) and Advanced Radiotherapy Techniques (4 papers). Ji Zhu collaborates with scholars based in China, United States and United Kingdom. Ji Zhu's co-authors include Hua Yang, Jia Wang, Wenjun Zhang, Kuo Men, Nian Liu, Weiyao Lin, Shuang Wu, Qin Zhou, Xinyuan Chen and Zhiyong Gao and has published in prestigious journals such as Medical Physics, Neurocomputing and Radiotherapy and Oncology.

In The Last Decade

Ji Zhu

11 papers receiving 105 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ji Zhu China	6	67	32	30	19	14	12	105
Zhenyu Fang China	7	49 0.7×	12 0.4×	61 2.0×	22 1.2×	36 2.6×	10	132
Kinda Anna Saddi United Kingdom	5	52 0.8×	31 1.0×	76 2.5×	9 0.5×	14 1.0×	7	107
Yueyue Wang China	4	26 0.4×	23 0.7×	38 1.3×	18 0.9×	13 0.9×	5	80
Senhu Li United States	7	37 0.6×	45 1.4×	50 1.7×	7 0.4×	15 1.1×	9	97
Yunguan Fu United Kingdom	6	43 0.6×	23 0.7×	41 1.4×	4 0.2×	25 1.8×	13	122
H. Yu United States	3	67 1.0×	10 0.3×	15 0.5×	6 0.3×	17 1.2×	6	104
Patrick Horain France	6	72 1.1×	15 0.5×	39 1.3×	4 0.2×	6 0.4×	15	125
Bahram Marami Canada	8	36 0.5×	18 0.6×	117 3.9×	6 0.3×	18 1.3×	16	189
Refael Vivanti Israel	4	27 0.4×	32 1.0×	86 2.9×	7 0.4×	47 3.4×	5	130

Countries citing papers authored by Ji Zhu

Since Specialization

Citations

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

Fields of papers citing papers by Ji Zhu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ji Zhu

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

All Works

Sort: Min cites: Since: Top N: Style:

12 of 12 papers shown

1.

Chen, Xinyuan, Ji Zhu, Yiwei Yang, et al.. (2023). Investigating transfer learning to improve the deep-learning-based segmentation of organs at risk among different medical centers for nasopharyngeal carcinoma. Frontiers in Physics. 11.

2.

Liu, Yuxiang, et al.. (2023). A projection‐domain correction method in CBCT reconstruction for head and neck radiotherapy using cycle‐GAN and nonlocal means filter. Medical Physics. 50(8). 5045–5060. 1 indexed citations

3.

Chen, Xinyuan, et al.. (2022). A more effective CT synthesizer using transformers for cone-beam CT-guided adaptive radiotherapy. Frontiers in Oncology. 12. 988800–988800. 12 indexed citations

4.

Liu, Chuang, Hua Yang, Ji Zhu, Qin Zhou, & Shibao Zheng. (2022). Modeling context appearance changes for person re-identification via IPES-GCN. Neurocomputing. 483. 210–220. 4 indexed citations

5.

Men, Kuo, Xinyuan Chen, Ji Zhu, et al.. (2021). Automatic segmentation of three clinical target volumes in radiotherapy using lifelong learning. Radiotherapy and Oncology. 157. 1–7. 13 indexed citations

6.

Zhu, Ji, Hua Yang, Jia Wang, & Wenjun Zhang. (2021). Description-based person search with multi-grained matching networks. Displays. 69. 102039–102039. 5 indexed citations

7.

Liu, Chuang, et al.. (2021). Graph similarity rectification for person search. Neurocomputing. 465. 184–194. 3 indexed citations

8.

Zhu, Ji, Hua Yang, Weiyao Lin, et al.. (2020). Group Re-Identification With Group Context Graph Neural Networks. IEEE Transactions on Multimedia. 23. 2614–2626. 28 indexed citations

9.

Men, Kuo, et al.. (2020). Continual improvement of nasopharyngeal carcinoma segmentation with less labeling effort. Physica Medica. 80. 347–351. 11 indexed citations

10.

Yang, Hua, et al.. (2017). Deep Spatial-Temporal Fusion Network for Video-Based Person Re-identification. 1478–1485. 20 indexed citations

11.

Yang, Hua, et al.. (2016). Resolution adaptive feature extracting and fusing framework for person re-identification. Neurocomputing. 212. 65–74. 3 indexed citations

12.

Yang, Hua, et al.. (2015). Hierarchical video summarization with loitering indication. 5 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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