Xiaoran Zhang

1.8k total citations
60 papers, 1.1k citations indexed

About

Xiaoran Zhang is a scholar working on Computer Vision and Pattern Recognition, Surgery and Oncology. According to data from OpenAlex, Xiaoran Zhang has authored 60 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Vision and Pattern Recognition, 14 papers in Surgery and 9 papers in Oncology. Recurrent topics in Xiaoran Zhang's work include Digital Media Forensic Detection (10 papers), Advanced Steganography and Watermarking Techniques (10 papers) and Chaos-based Image/Signal Encryption (9 papers). Xiaoran Zhang is often cited by papers focused on Digital Media Forensic Detection (10 papers), Advanced Steganography and Watermarking Techniques (10 papers) and Chaos-based Image/Signal Encryption (9 papers). Xiaoran Zhang collaborates with scholars based in China, United States and Canada. Xiaoran Zhang's co-authors include Mirjam Schenk, Robert L. Modlin, Genhong Cheng, Zhibin Pan, Andreas Steinmeyer, Paul W. Dempsey, Matthew Wheelwright, Philip T. Liu, Valencia P. Walker and Melissa Kanchanapoomi and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Xiaoran Zhang

55 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaoran Zhang China 17 230 196 173 167 153 60 1.1k
Rosline Hassan Malaysia 24 297 1.3× 130 0.7× 408 2.4× 88 0.5× 127 0.8× 140 1.7k
Yijie Guo China 19 321 1.4× 123 0.6× 122 0.7× 38 0.2× 97 0.6× 52 937
Yi‐Wen Huang China 30 524 2.3× 114 0.6× 95 0.5× 178 1.1× 162 1.1× 135 2.4k
Takuya Inoue Japan 16 234 1.0× 42 0.2× 132 0.8× 46 0.3× 127 0.8× 61 1.1k
Rui Fang China 23 773 3.4× 82 0.4× 113 0.7× 68 0.4× 195 1.3× 104 2.4k
Yushan Chen China 24 869 3.8× 73 0.4× 89 0.5× 39 0.2× 181 1.2× 139 2.1k
Zongfang Li China 32 1.2k 5.4× 151 0.8× 184 1.1× 50 0.3× 343 2.2× 116 2.7k
Yuji Ishida Japan 28 645 2.8× 66 0.3× 138 0.8× 197 1.2× 328 2.1× 137 2.6k
Hong Shen China 25 1.0k 4.4× 154 0.8× 303 1.8× 52 0.3× 228 1.5× 140 2.8k
Wenjie Wang China 19 493 2.1× 147 0.8× 23 0.1× 54 0.3× 126 0.8× 58 1.5k

Countries citing papers authored by Xiaoran Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoran Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoran Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoran Zhang. A scholar is included among the top collaborators of Xiaoran 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 Xiaoran Zhang. Xiaoran 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.
Zhang, Xiaoran, et al.. (2025). A high-order implicit time integration method for linear and nonlinear dynamics with efficient computation of accelerations. Computer Methods in Applied Mechanics and Engineering. 438. 117831–117831. 1 indexed citations
2.
Zheng, Yupeng, Xiaoran Zhang, Yongchao Zhou, et al.. (2025). Deep representation learning enables cross-basin water quality prediction under data-scarce conditions. npj Clean Water. 8(1). 5 indexed citations
3.
Zhang, Xiaoran, et al.. (2024). A reversible data hiding method based on bitmap prediction for AMBTC compressed hyperspectral images. Journal of Information Security and Applications. 81. 103697–103697. 4 indexed citations
4.
Wang, Junjie, et al.. (2024). MW-YOLO: Improved YOLOv8n for Lightweight Dense Vehicle Object Detection Algorithm. 28–35. 1 indexed citations
5.
Zhang, Xiaoran, et al.. (2024). Enhancing ORB-SLAM3 Pose Estimation in Dynamic Scenes with YOLOv5 Object Detection. 8–15. 1 indexed citations
6.
Zhang, Yihui, Donghua Li, Yadong Tian, et al.. (2024). Fasting-Induced Molting Impacts the Intestinal Health by Altering the Gut Microbiota. Animals. 14(11). 1640–1640. 6 indexed citations
7.
Thorn, Stephanie, John C. Stendahl, Xiaoran Zhang, et al.. (2024). Multi-Task Learning for Motion Analysis and Segmentation in 3D Echocardiography. IEEE Transactions on Medical Imaging. 43(5). 2010–2020. 7 indexed citations
8.
Sun, Yifan, et al.. (2024). Effect of hydrogen‐rich saline on melanopsin after acute blue light‐induced retinal damage in rats. Photochemistry and Photobiology. 101(1). 106–115.
9.
Yuan, Yu, et al.. (2023). Effects of diet and gender on the pharmacokinetics of oral lenvatinib: A clinical trial in healthy Chinese participants. International Journal of Clinical Pharmacology and Therapeutics. 61(11). 475–481. 1 indexed citations
10.
Zhang, Xiaoran, et al.. (2023). A novel two-level embedding pattern for grayscale-invariant reversible data hiding. Multimedia Tools and Applications. 82(22). 33911–33935. 3 indexed citations
11.
Bai, Bijie, Hongda Wang, Yuzhu Li, et al.. (2022). Label-Free Virtual HER2 Immunohistochemical Staining of Breast Tissue using Deep Learning. SHILAP Revista de lepidopterología. 2022. 9786242–9786242. 39 indexed citations
12.
Pan, Zhibin, et al.. (2022). Local feature-based mutual complexity for pixel-value-ordering reversible data hiding. Signal Processing. 204. 108833–108833. 12 indexed citations
13.
Wang, Chengyao, Li Zhu, Xiaoran Zhang, et al.. (2022). Secondary Metabolites from Annulohypoxylon sp. and Structural Revision of Emericellins A and B. Journal of Natural Products. 85(4). 828–837. 16 indexed citations
14.
Pan, Zhibin, et al.. (2022). Pixel type classification based reversible data hiding for hyperspectral images. Knowledge-Based Systems. 254. 109606–109606. 12 indexed citations
15.
You, Chenyu, Kun Su, Xiaoran Zhang, et al.. (2022). Incremental Learning Meets Transfer Learning: Application to Multi-site Prostate MRI Segmentation. Lecture notes in computer science. 13573. 3–16. 48 indexed citations
16.
Li, Jingxi, Xiaoran Zhang, Di Wu, et al.. (2021). Biopsy-free in vivo virtual histology of skin using deep learning. Light Science & Applications. 10(1). 233–233. 64 indexed citations
17.
Pan, Zhibin, et al.. (2021). A comparative study between PVO-based framework and multi-predictor mechanism in reversible data hiding. Journal of Visual Communication and Image Representation. 81. 103349–103349. 11 indexed citations
18.
Wang, Yunfei, et al.. (2019). Sevoflurane alleviates LPS‑induced acute lung injury via the microRNA‑27a‑3p/TLR4/MyD88/NF‑κB signaling pathway. International Journal of Molecular Medicine. 44(2). 479–490. 22 indexed citations
19.
Zhang, Xiaoran, et al.. (2018). Surgical management of proximal fibular tumors: risk factors for recurrence and complications. Journal of International Medical Research. 46(5). 1884–1892. 3 indexed citations
20.
Tian, Jianmin, et al.. (2014). Role of miR‐34c in ketamine‐induced neurotoxicity in neonatal mice hippocampus. Cell Biology International. 39(2). 164–168. 40 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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