Xiangchen Wu

774 total citations · 2 hit papers
9 papers, 542 citations indexed

About

Xiangchen Wu is a scholar working on Epidemiology, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Xiangchen Wu has authored 9 papers receiving a total of 542 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Epidemiology, 9 papers in Artificial Intelligence and 5 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Xiangchen Wu's work include AI in cancer detection (9 papers), Cervical Cancer and HPV Research (9 papers) and Radiomics and Machine Learning in Medical Imaging (5 papers). Xiangchen Wu is often cited by papers focused on AI in cancer detection (9 papers), Cervical Cancer and HPV Research (9 papers) and Radiomics and Machine Learning in Medical Imaging (5 papers). Xiangchen Wu collaborates with scholars based in China, United States and Germany. Xiangchen Wu's co-authors include Chen Li, Yudong Yao, Md Mamunur Rahaman, Xiaoyan Li, Qian Wang, Frank Kulwa, Tao Jiang, Hongzan Sun, Marcin Grzegorzek and Wanli Liu and has published in prestigious journals such as IEEE Access, Pattern Recognition and Modern Pathology.

In The Last Decade

Xiangchen Wu

8 papers receiving 533 citations

Hit Papers

DeepCervix: A deep learning-based framework for the class... 2021 2026 2022 2024 2021 2022 50 100 150 200
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. DeepCervix: A deep learning-based framework for the classification of cervical cells using hybrid deep feature fusion techniques
    2021 201 citations Md Mamunur Rahaman, Chen Li et al. Computers in Biology and Medicine profile →
  2. CVM-Cervix: A hybrid cervical Pap-smear image classification framework using CNN, visual transformer and multilayer perceptron
    2022 131 citations Wanli Liu, Chen Li et al. Pattern Recognition profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiangchen Wu China 6 427 212 173 147 69 9 542
Elima Hussain India 6 313 0.7× 166 0.8× 111 0.6× 93 0.6× 42 0.6× 7 360
Baochuan Pang China 8 228 0.5× 105 0.5× 88 0.5× 130 0.9× 32 0.5× 31 323
Ikram Ullah Lali Pakistan 9 300 0.7× 160 0.8× 62 0.4× 203 1.4× 44 0.6× 12 574
Ebrahim Nasr-Esfahani Iran 7 263 0.6× 141 0.7× 92 0.5× 154 1.0× 68 1.0× 10 527
Marina E. Plissiti Greece 12 560 1.3× 201 0.9× 195 1.1× 428 2.9× 88 1.3× 23 818
Eduardo Castro Portugal 4 601 1.4× 458 2.2× 25 0.1× 300 2.0× 39 0.6× 10 728
Amirreza Mahbod Austria 10 549 1.3× 136 0.6× 232 1.3× 199 1.4× 83 1.2× 19 870
P. C. Siddalingaswamy India 12 223 0.5× 216 1.0× 72 0.4× 165 1.1× 47 0.7× 34 538
Jinman Kim Australia 7 270 0.6× 109 0.5× 117 0.7× 124 0.8× 70 1.0× 12 483
Marek Wodziński Poland 12 193 0.5× 163 0.8× 25 0.1× 81 0.6× 66 1.0× 48 469

Countries citing papers authored by Xiangchen Wu

Since Specialization
Citations

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

Fields of papers citing papers by Xiangchen Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiangchen Wu

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

All Works

9 of 9 papers shown
1.
Zeng, Xianxu, Chun Wang, Yanxue Yin, et al.. (2024). AICyte‐alone capabilities as an independent screener for triaging cervical cytology using a 50% negative cutoff value. Cancer Cytopathology. 132(11). 723–730. 3 indexed citations
2.
3.
Zhang, Xin, Xiangchen Wu, Wei Yuan, et al.. (2024). Assessment of Efficacy and Accuracy of Cervical Cytology Screening With Artificial Intelligence Assistive System. Modern Pathology. 37(6). 100486–100486. 14 indexed citations
4.
Du, Hui, Wenkui Dai, Qian Zhou, et al.. (2023). AI-assisted system improves the work efficiency of cytologists via excluding cytology-negative slides and accelerating the slide interpretation. Frontiers in Oncology. 13. 1290112–1290112. 5 indexed citations
5.
Wu, Xiangchen, Changzhong Li, Haoyuan Chen, et al.. (2023). CAM-VT: A Weakly supervised cervical cancer nest image identification approach using conjugated attention mechanism and visual transformer. Computers in Biology and Medicine. 162. 107070–107070. 38 indexed citations
6.
Liu, Wanli, Chen Li, Ning Xu, et al.. (2022). CVM-Cervix: A hybrid cervical Pap-smear image classification framework using CNN, visual transformer and multilayer perceptron. Pattern Recognition. 130. 108829–108829. 131 indexed citations breakdown →
7.
Rahaman, Md Mamunur, Chen Li, Yudong Yao, et al.. (2021). DeepCervix: A deep learning-based framework for the classification of cervical cells using hybrid deep feature fusion techniques. Computers in Biology and Medicine. 136. 104649–104649. 201 indexed citations breakdown →
8.
9.
Rahaman, Md Mamunur, Chen Li, Xiangchen Wu, et al.. (2020). A Survey for Cervical Cytopathology Image Analysis Using Deep Learning. IEEE Access. 8. 61687–61710. 96 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Elima Hussain Breakdown of academic impact, for papers by Baochuan Pang Breakdown of academic impact, for papers by Ikram Ullah Lali Breakdown of academic impact, for papers by Ebrahim Nasr-Esfahani Breakdown of academic impact, for papers by Marina E. Plissiti Breakdown of academic impact, for papers by Eduardo Castro Breakdown of academic impact, for papers by Amirreza Mahbod Breakdown of academic impact, for papers by P. C. Siddalingaswamy Breakdown of academic impact, for papers by Jinman Kim Breakdown of academic impact, for papers by Marek Wodziński
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