Liusu Wang

673 total citations
7 papers, 395 citations indexed

About

Liusu Wang is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Artificial Intelligence. According to data from OpenAlex, Liusu Wang has authored 7 papers receiving a total of 395 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Radiology, Nuclear Medicine and Imaging, 4 papers in Pulmonary and Respiratory Medicine and 3 papers in Artificial Intelligence. Recurrent topics in Liusu Wang's work include Radiomics and Machine Learning in Medical Imaging (4 papers), COVID-19 diagnosis using AI (3 papers) and Lung Cancer Diagnosis and Treatment (3 papers). Liusu Wang is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (4 papers), COVID-19 diagnosis using AI (3 papers) and Lung Cancer Diagnosis and Treatment (3 papers). Liusu Wang collaborates with scholars based in China. Liusu Wang's co-authors include Yongbei Zhu, Shuo Wang, Qingxia Wu, Yu He, Meiyun Wang, Yunfei Zha, Meng Niu, Hongjun Li, Weimin Li and Xiaohu Li and has published in prestigious journals such as European Respiratory Journal, IEEE Transactions on Biomedical Engineering and Cancer Medicine.

In The Last Decade

Liusu Wang

7 papers receiving 381 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Liusu Wang China	5	309	155	83	68	62	7	395
Zimeng Tan China	3	292 0.9×	148 1.0×	102 1.2×	32 0.5×	58 0.9×	6	357
Weixiang Chen China	4	297 1.0×	153 1.0×	102 1.2×	29 0.4×	59 1.0×	9	381
Jocelyn Zhu United States	5	213 0.7×	97 0.6×	46 0.6×	49 0.7×	98 1.6×	5	286
Weiya Shi China	8	298 1.0×	131 0.8×	44 0.5×	96 1.4×	50 0.8×	11	344
Xiaoming Qiu China	9	493 1.6×	225 1.5×	133 1.6×	95 1.4×	90 1.5×	19	623
Zhanwei Xu China	5	360 1.2×	187 1.2×	118 1.4×	39 0.6×	61 1.0×	7	438
Zhenchao Tang China	5	300 1.0×	116 0.7×	42 0.5×	78 1.1×	42 0.7×	14	398
Ziwang Huang China	4	511 1.7×	320 2.1×	109 1.3×	61 0.9×	39 0.6×	4	558
Youmin Guo China	11	524 1.7×	80 0.5×	41 0.5×	73 1.1×	69 1.1×	33	600
Sagar Kulkarni United States	6	153 0.5×	60 0.4×	82 1.0×	42 0.6×	31 0.5×	23	327

Countries citing papers authored by Liusu Wang

Since Specialization

Citations

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

Fields of papers citing papers by Liusu Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liusu Wang

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

All Works

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7 of 7 papers shown

1.

Li, Zhe, Shuo Wang, Yu He, et al.. (2022). A Novel Deep Learning Framework Based Mask-Guided Attention Mechanism for Distant Metastasis Prediction of Lung Cancer. IEEE Transactions on Emerging Topics in Computational Intelligence. 7(2). 330–341. 20 indexed citations

2.

Liu, Meili, Shuo Wang, He Yu, et al.. (2022). A Lung-Parenchyma-Contrast Hybrid Network For EGFR Gene Mutation Prediction In Lung Cancer. 2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI). 1–5. 3 indexed citations

3.

Su, Qiang, Zhenyu Liu, Chi Chen, et al.. (2021). Gene signatures predict biochemical recurrence‐free survival in primary prostate cancer patients after radical therapy. Cancer Medicine. 10(18). 6492–6502. 5 indexed citations

4.

Zhu, Yongbei, Shuo Wang, Qingxia Wu, et al.. (2021). Mix Contrast for COVID-19 Mild-to-Critical Prediction. IEEE Transactions on Biomedical Engineering. 68(12). 3725–3736. 15 indexed citations

5.

Wang, Liusu, Shuo Wang, Yu He, et al.. (2021). A Quarter-split Domain-adaptive Network for EGFR Gene Mutation Prediction in Lung Cancer by Standardizing Heterogeneous CT image. 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). 2021. 3646–3649. 3 indexed citations

6.

Wang, Shuo, Yunfei Zha, Weimin Li, et al.. (2020). A fully automatic deep learning system for COVID-19 diagnostic and prognostic analysis. European Respiratory Journal. 56(2). 2000775–2000775. 339 indexed citations

7.

Li, Xiying, Liusu Wang, Jiliang Shen, et al.. (2018). ANALYSIS AND COMPARISON OF SCIENTIFIC INQUIRY ACTIVITIES IN EIGHT-GRADE PHYSICS TEXTBOOKS IN CHINA. Journal of Baltic Science Education. 17(2). 229–238. 10 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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