Xinran Wang

1.6k total citations
37 papers, 1.1k citations indexed

About

Xinran Wang is a scholar working on Signal Processing, Computer Networks and Communications and Oncology. According to data from OpenAlex, Xinran Wang has authored 37 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Signal Processing, 11 papers in Computer Networks and Communications and 9 papers in Oncology. Recurrent topics in Xinran Wang's work include Advanced Malware Detection Techniques (9 papers), Software Engineering Research (5 papers) and Network Security and Intrusion Detection (5 papers). Xinran Wang is often cited by papers focused on Advanced Malware Detection Techniques (9 papers), Software Engineering Research (5 papers) and Network Security and Intrusion Detection (5 papers). Xinran Wang collaborates with scholars based in China, United States and Hong Kong. Xinran Wang's co-authors include Sencun Zhu, Guohong Cao, Yi Yang, Yoon‐Chan Jhi, Peng Liu, Yueping Liu, Xiaoqi Jia, Dinghao Wu, Xiao Han and Yue Meng and has published in prestigious journals such as Cancer Research, Molecules and Information Sciences.

In The Last Decade

Xinran Wang

34 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xinran Wang China 16 442 390 390 295 132 37 1.1k
Shang Gao China 15 366 0.8× 142 0.4× 277 0.7× 386 1.3× 8 0.1× 98 943
Yuedan Chen China 13 182 0.4× 83 0.2× 159 0.4× 64 0.2× 43 0.3× 44 749
Giulio Antoniol Italy 20 225 0.5× 399 1.0× 430 1.1× 1.3k 4.3× 13 0.1× 43 1.6k
Yangfan Zhou China 20 653 1.5× 220 0.6× 253 0.6× 710 2.4× 24 0.2× 87 1.3k
Bin Liang China 19 330 0.7× 557 1.4× 354 0.9× 555 1.9× 5 0.0× 75 1.2k
Sadi Alawadi Sweden 13 169 0.4× 79 0.2× 246 0.6× 252 0.9× 14 0.1× 45 742
James C. Wu United States 8 445 1.0× 172 0.4× 762 2.0× 352 1.2× 34 0.3× 9 1.1k
Jianwen Xiang China 16 260 0.6× 89 0.2× 227 0.6× 330 1.1× 4 0.0× 113 876
Ankur Taly United States 14 68 0.2× 161 0.4× 430 1.1× 192 0.7× 178 1.3× 20 810
Hongyu Zhu China 18 228 0.5× 42 0.1× 156 0.4× 187 0.6× 20 0.2× 55 1.1k

Countries citing papers authored by Xinran Wang

Since Specialization
Citations

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

Fields of papers citing papers by Xinran Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xinran Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Xinran Wang. A scholar is included among the top collaborators of Xinran Wang 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 Xinran Wang. Xinran Wang 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.
Shi, Bowen, Sheng Lu, Xinran Wang, et al.. (2025). Machine Learning-Driven SERS Analysis Platform for Accurate and Rapid Diagnosis of Peritoneal Metastasis from Gastric Cancer. Annals of Surgical Oncology. 32(10). 7604–7614.
2.
Wang, Xinran, et al.. (2024). Concordance of assessments of four PD-L1 immunohistochemical assays in esophageal squamous cell carcinoma (ESCC). Journal of Cancer Research and Clinical Oncology. 150(2). 43–43. 7 indexed citations
3.
Li, Jinze, Pei Dong, Xinran Wang, et al.. (2024). Artificial intelligence enhances whole‐slide interpretation of PD‐L1 CPS in triple‐negative breast cancer: A multi‐institutional ring study. Histopathology. 85(3). 451–467. 7 indexed citations
4.
Li, Jinze, Xinran Wang, & Yueping Liu. (2024). Abstract PO5-07-02: AI-assisted interpretation of PD-L1 CPS improves the precision medicine in Triple-negative breast cancer. Cancer Research. 84(9_Supplement). PO5–7. 1 indexed citations
5.
Wang, Xinran, Chang Liu, Xuemei Sun, et al.. (2023). Effect of storage time of paraffin sections on the expression of PD-L1 (SP142) in invasive breast cancer. Diagnostic Pathology. 18(1). 131–131. 2 indexed citations
6.
7.
Wu, Si, Yue Meng, Jun Zhang, et al.. (2023). The Role of Artificial Intelligence in Accurate Interpretation of HER2 Immunohistochemical Scores 0 and 1+ in Breast Cancer. Modern Pathology. 36(3). 100054–100054. 63 indexed citations
8.
Yang, Zhongyi, Xiyue Wang, Jinxi Xiang, et al.. (2023). The devil is in the details: a small-lesion sensitive weakly supervised learning framework for prostate cancer detection and grading. Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin. 482(3). 525–538. 8 indexed citations
9.
Xia, Yutao, Tanghong Liu, Xinran Wang, et al.. (2023). Piecewise linear representation of pressure wave data of high-speed trains traveling through tunnels. Journal of Central South University. 30(7). 2411–2426. 5 indexed citations
10.
Meng, Yue, et al.. (2023). RT-qPCR is helpful to distinguish the clinicopathological features of HER2 immunohistochemistry 0 and 1 +. Pathology - Research and Practice. 247. 154532–154532. 5 indexed citations
11.
Meng, Yue, Si Wu, Chang Liu, et al.. (2023). Clinicopathological features and prognostic analysis of HER2 low and fibrotic focus in HER2-negative breast cancer. Breast Cancer Research and Treatment. 203(2). 373–381.
12.
Xue, Xuemin, Qi Sun, Dongxian Jiang, et al.. (2022). The efficacy of additional surgical resection after endoscopic resection in pT1b esophageal squamous cell carcinoma: A multi-institutional retrospective study in China. Surgical Endoscopy. 37(2). 871–880. 1 indexed citations
13.
Xiang, Jinxi, Xiyue Wang, Xinran Wang, et al.. (2022). Automatic diagnosis and grading of Prostate Cancer with weakly supervised learning on whole slide images. Computers in Biology and Medicine. 152. 106340–106340. 34 indexed citations
14.
Meng, Yue, Jun Zhang, Xinran Wang, et al.. (2021). Can AI-assisted microscope facilitate breast HER2 interpretation? A multi-institutional ring study. Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin. 479(3). 443–449. 33 indexed citations
15.
Wang, Xinran, Liang Wang, Hong Bu, et al.. (2021). How can artificial intelligence models assist PD-L1 expression scoring in breast cancer: results of multi-institutional ring studies. npj Breast Cancer. 7(1). 61–61. 31 indexed citations
16.
Wang, Xinran, et al.. (2018). Intratumoral heterogeneity of esophageal squamous cell carcinoma and its clinical significance. Pathology - Research and Practice. 215(2). 308–314. 4 indexed citations
17.
Meng, Lingwei, Xiangkun Li, Xinran Wang, et al.. (2017). Amoxicillin effects on functional microbial community and spread of antibiotic resistance genes in amoxicillin manufacture wastewater treatment system. Journal of Environmental Sciences. 61. 110–117. 46 indexed citations
18.
Wang, Xinran, Yoon‐Chan Jhi, Sencun Zhu, & Peng Liu. (2009). Detecting Software Theft via System Call Based Birthmarks. 149–158. 71 indexed citations
19.
Yang, Yi, Xinran Wang, Sencun Zhu, & Guohong Cao. (2008). SDAP. ACM Transactions on Information and System Security. 11(4). 1–43. 97 indexed citations
20.
Wang, Xinran, Yoon‐Chan Jhi, Sencun Zhu, & Peng Liu. (2008). STILL: Exploit Code Detection via Static Taint and Initialization Analyses. 289–298. 42 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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