Xiangxue Wang

1.2k total citations
31 papers, 759 citations indexed

About

Xiangxue Wang is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Oncology. According to data from OpenAlex, Xiangxue Wang has authored 31 papers receiving a total of 759 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Radiology, Nuclear Medicine and Imaging, 15 papers in Artificial Intelligence and 7 papers in Oncology. Recurrent topics in Xiangxue Wang's work include Radiomics and Machine Learning in Medical Imaging (21 papers), AI in cancer detection (15 papers) and Sperm and Testicular Function (4 papers). Xiangxue Wang is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (21 papers), AI in cancer detection (15 papers) and Sperm and Testicular Function (4 papers). Xiangxue Wang collaborates with scholars based in United States, China and Colombia. Xiangxue Wang's co-authors include Anant Madabhushi, Vamsidhar Velcheti, Cheng Lu, Pingfu Fu, Kurt A. Schalper, Andrew Janowczyk, David L. Rimm, Yu Zhou, Germán Corredor and Kaustav Bera and has published in prestigious journals such as Advanced Materials, Journal of Clinical Oncology and Bioinformatics.

In The Last Decade

Xiangxue Wang

29 papers receiving 752 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiangxue Wang United States 13 444 339 241 193 117 31 759
Germán Corredor United States 13 524 1.2× 299 0.9× 348 1.4× 293 1.5× 126 1.1× 57 908
Richard Colling United Kingdom 18 263 0.6× 318 0.9× 252 1.0× 152 0.8× 122 1.0× 47 769
Andreas Kleppe Norway 11 460 1.0× 356 1.1× 368 1.5× 184 1.0× 219 1.9× 22 1.0k
Jeremias Krause Germany 3 489 1.1× 466 1.4× 305 1.3× 106 0.5× 198 1.7× 8 868
Pierre Courtiol France 4 418 0.9× 436 1.3× 164 0.7× 113 0.6× 182 1.6× 7 815
Meriem Sefta France 5 305 0.7× 347 1.0× 157 0.7× 94 0.5× 155 1.3× 6 688
Matahi Moarii France 9 422 1.0× 434 1.3× 215 0.9× 144 0.7× 251 2.1× 12 1.1k
Yosep Chong South Korea 16 277 0.6× 319 0.9× 184 0.8× 88 0.5× 63 0.5× 86 836
Tarjei S. Hveem Norway 12 345 0.8× 265 0.8× 332 1.4× 177 0.9× 211 1.8× 21 841
Dyke Ferber Germany 11 507 1.1× 579 1.7× 386 1.6× 74 0.4× 116 1.0× 23 1.1k

Countries citing papers authored by Xiangxue Wang

Since Specialization
Citations

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

Fields of papers citing papers by Xiangxue Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiangxue Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Xiangxue Wang. A scholar is included among the top collaborators of Xiangxue 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 Xiangxue Wang. Xiangxue 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.
Zhang, Ke, Songwei Feng, Qi Liu, et al.. (2025). Development of model for identifying homologous recombination deficiency (HRD) status of ovarian cancer with deep learning on whole slide images. Journal of Translational Medicine. 23(1). 267–267. 1 indexed citations
2.
Qiu, Xiuwen, et al.. (2025). Climatological Investigation of Ionospheric Es Layer Based on Occultation Data. Remote Sensing. 17(2). 280–280. 1 indexed citations
3.
Zhang, Jiawei, Feng Ding, Xiaoying Wei, et al.. (2025). AI-based prediction of androgen receptor expression and its prognostic significance in prostate cancer. Scientific Reports. 15(1). 3985–3985.
4.
Wang, Xiangxue, Jingkai Zhang, Yang Huang, et al.. (2025). Glo-net: A dual task branch based neural network for multi-class glomeruli segmentation. Computers in Biology and Medicine. 186. 109670–109670.
5.
Yang, Kailin, Xiangxue Wang, Jonathan Lee, et al.. (2025). Deep learning informed multimodal fusion of radiology and pathology to predict outcomes in HPV-associated oropharyngeal squamous cell carcinoma. EBioMedicine. 114. 105663–105663. 5 indexed citations
6.
Li, Yufen, Guo‐Min Li, Xiangxue Wang, et al.. (2024). Differentiation and risk stratification of basal cell carcinoma with deep learning on histopathologic images and measuring nuclei and tumor microenvironment features. Skin Research and Technology. 30(1). e13571–e13571. 5 indexed citations
7.
Yang, Kailin, Vidya Sankar Viswanathan, Xiangxue Wang, et al.. (2023). CT radiomic signature predicts survival and chemotherapy benefit in stage I and II HPV-associated oropharyngeal carcinoma. npj Precision Oncology. 7(1). 53–53. 4 indexed citations
8.
9.
Wang, Xiangxue, Cristian Barrera, Kaustav Bera, et al.. (2022). Spatial interplay patterns of cancer nuclei and tumor-infiltrating lymphocytes (TILs) predict clinical benefit for immune checkpoint inhibitors. Science Advances. 8(22). eabn3966–eabn3966. 48 indexed citations
10.
Xie, Jiawei, Xiaohong Pu, Jian He, et al.. (2022). Survival prediction on intrahepatic cholangiocarcinoma with histomorphological analysis on the whole slide images. Computers in Biology and Medicine. 146. 105520–105520. 12 indexed citations
11.
Wang, Xiangxue, Kaustav Bera, Cristian Barrera, et al.. (2021). A prognostic and predictive computational pathology image signature for added benefit of adjuvant chemotherapy in early stage non-small-cell lung cancer. EBioMedicine. 69. 103481–103481. 15 indexed citations
12.
Lu, Cheng, Can Koyuncu, Germán Corredor, et al.. (2020). Feature-driven local cell graph (FLocK): New computational pathology-based descriptors for prognosis of lung cancer and HPV status of oropharyngeal cancers. Medical Image Analysis. 68. 101903–101903. 41 indexed citations
13.
Lu, Cheng, Kaustav Bera, Xiangxue Wang, et al.. (2020). A prognostic model for overall survival of patients with early-stage non-small cell lung cancer: a multicentre, retrospective study. The Lancet Digital Health. 2(11). e594–e606. 51 indexed citations
14.
Yan, Chaoyang, Kazuaki Nakane, Xiangxue Wang, et al.. (2020). Automated gleason grading on prostate biopsy slides by statistical representations of homology profile. Computer Methods and Programs in Biomedicine. 194. 105528–105528. 12 indexed citations
15.
16.
Corredor, Germán, Xiangxue Wang, Yu Zhou, et al.. (2018). Spatial Architecture and Arrangement of Tumor-Infiltrating Lymphocytes for Predicting Likelihood of Recurrence in Early-Stage Non–Small Cell Lung Cancer. Clinical Cancer Research. 25(5). 1526–1534. 162 indexed citations
17.
Romero, Eduardo, Germán Corredor, Cheng Lu, et al.. (2018). A watershed and feature-based approach for automated detection of lymphocytes on lung cancer images. 26–26. 14 indexed citations
18.
Lu, Cheng, David Romo‐Bucheli, Xiangxue Wang, et al.. (2018). Nuclear shape and orientation features from H&E images predict survival in early-stage estrogen receptor-positive breast cancers. Laboratory Investigation. 98(11). 1438–1448. 94 indexed citations
19.
Wang, Xiangxue, et al.. (2017). 高度に効率的な水素発生反応のためのpH普遍的電極触媒としての三元NiCo_2P_xナノワイヤ【Powered by NICT】. Advanced Materials. 29(9). 201605502. 1 indexed citations
20.
Wang, Xiangxue, Andrew Janowczyk, Yu Zhou, et al.. (2017). Prediction of recurrence in early stage non-small cell lung cancer using computer extracted nuclear features from digital H&E images. Scientific Reports. 7(1). 13543–13543. 91 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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