Shun Tang

2.1k total citations · 1 hit paper
70 papers, 1.6k citations indexed

About

Shun Tang is a scholar working on Electrical and Electronic Engineering, Pulmonary and Respiratory Medicine and Surgery. According to data from OpenAlex, Shun Tang has authored 70 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Electrical and Electronic Engineering, 19 papers in Pulmonary and Respiratory Medicine and 16 papers in Surgery. Recurrent topics in Shun Tang's work include Advancements in Battery Materials (16 papers), Sarcoma Diagnosis and Treatment (16 papers) and Bone Tumor Diagnosis and Treatments (12 papers). Shun Tang is often cited by papers focused on Advancements in Battery Materials (16 papers), Sarcoma Diagnosis and Treatment (16 papers) and Bone Tumor Diagnosis and Treatments (12 papers). Shun Tang collaborates with scholars based in China, United States and Australia. Shun Tang's co-authors include Yuan‐Cheng Cao, Wei Guo, Tao Ji, Wuxin Sha, Rongli Yang, Rongli Yang, Yaqing Guo, Xiaomao Wang, Yuefeng F. Xie and Songfeng Lu and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Bone and Joint Surgery.

In The Last Decade

Shun Tang

66 papers receiving 1.6k citations

Hit Papers

Curcumin suppresses colorectal cancer by induction of fer... 2024 2026 2025 2024 10 20 30 40

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shun Tang China 25 430 315 300 247 239 70 1.6k
Jun Xiao China 28 138 0.3× 113 0.4× 336 1.1× 158 0.6× 203 0.8× 118 2.7k
Jiwei Zhao United States 22 185 0.4× 168 0.5× 124 0.4× 201 0.8× 54 0.2× 109 1.4k
Ziyu Chen China 22 114 0.3× 81 0.3× 186 0.6× 328 1.3× 68 0.3× 120 1.9k
Tae‐Won Lee South Korea 25 831 1.9× 74 0.2× 187 0.6× 224 0.9× 54 0.2× 125 2.9k
Jiwei Wang China 24 596 1.4× 263 0.8× 125 0.4× 146 0.6× 69 0.3× 91 2.1k
Hyuk Jae Kwon South Korea 31 605 1.4× 63 0.2× 92 0.3× 814 3.3× 92 0.4× 110 3.0k
Yuetao Wang China 23 2.2k 5.0× 197 0.6× 99 0.3× 216 0.9× 34 0.1× 127 3.3k
Te Wang China 27 603 1.4× 32 0.1× 122 0.4× 196 0.8× 44 0.2× 101 1.9k
Junlin Yang China 20 58 0.1× 54 0.2× 599 2.0× 204 0.8× 146 0.6× 95 1.7k
Guangchun Wang China 27 89 0.2× 242 0.8× 135 0.5× 541 2.2× 64 0.3× 148 2.1k

Countries citing papers authored by Shun Tang

Since Specialization
Citations

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

Fields of papers citing papers by Shun Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shun Tang

This figure shows the co-authorship network connecting the top 25 collaborators of Shun Tang. A scholar is included among the top collaborators of Shun Tang 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 Shun Tang. Shun Tang 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
2.
Wang, Junwei, Fengqian Wang, Zhenxing Wang, et al.. (2025). Defect-engineered gradient reconstruction for the upcycling of spent LiFePO4 to generate high-value LiFe1−Mn PO4/C cathodes. Journal of Energy Chemistry. 112. 306–316. 1 indexed citations
3.
Tang, Shun, et al.. (2025). Bipolar membrane electrodialysis for producing acid and alkali from concentrated seawater: Industrial application in Bohai Sea, China. Journal of Water Process Engineering. 76. 108266–108266.
4.
Lou, Xuechun, Jun Zhong, Qigao Han, et al.. (2023). Solvent-free quasi-solid polymer electrolyte with a high dielectric constant for stable lithium metal anodes. Chemical Engineering Journal. 468. 143681–143681. 5 indexed citations
5.
Sha, Wuxin, et al.. (2023). AtomGAN: unsupervised deep learning for fast and accurate defect detection of 2D materials at the atomic scale. Science China Information Sciences. 66(6). 6 indexed citations
6.
Lou, Ping, Long Li, Yao Wang, et al.. (2023). Fabrication of composite solid electrolyte based on MOF with functional ionic liquid for integrated lithium–air batteries. Ionics. 29(5). 1803–1812. 5 indexed citations
7.
Liu, Maolun, Shan Ren, Hui Zhao, et al.. (2022). IDDF2022-ABS-0085 Inhibition of colorectal cancer by scutellarin via modulation of hippo signaling pathway activity. A45.2–A45. 1 indexed citations
8.
Niu, Kai, et al.. (2022). Bone tumor necrosis rate detection in few-shot X-rays based on deep learning. Computerized Medical Imaging and Graphics. 102. 102141–102141. 12 indexed citations
9.
Liang, Haijie, Xingyu Liu, Yi Yang, et al.. (2021). Ultra-Short Course of Neo-Adjuvant Denosumab for Nerve-Sparing Surgery for Giant Cell Tumor of Bone in Sacrum. Spine. 47(9). 691–701. 10 indexed citations
10.
Sha, Wuxin, et al.. (2021). Computer Vision Analysis on Material Characterization Images. SHILAP Revista de lepidopterología. 4(3). 14 indexed citations
11.
Sha, Wuxin, Yaqing Guo, Qing Yuan, et al.. (2020). Artificial Intelligence to Power the Future of Materials Science and Engineering. Advanced Intelligent Systems. 2(4). 40 indexed citations
12.
Huang, Gaoxu, Pingmei Guo, Jian Wang, et al.. (2019). Lithiophilic V2O5 nanobelt arrays decorated 3D framework hosts for highly stable composite lithium metal anodes. Chemical Engineering Journal. 384. 123313–123313. 90 indexed citations
13.
Li, Dasen, et al.. (2019). Pelvic reconstruction following resection of tumour involving the whole ilium and acetabulum. Journal of bone oncology. 16. 100234–100234. 11 indexed citations
14.
Guo, Wei, Kunkun Sun, Rongli Yang, et al.. (2015). Postoperative recurrence of desmoid tumors: clinical and pathological perspectives. World Journal of Surgical Oncology. 13(1). 26–26. 29 indexed citations
15.
Xu, Jie, Dasen Li, Lu Xie, Shun Tang, & Wei Guo. (2015). Mesenchymal Chondrosarcoma of Bone and Soft Tissue: A Systematic Review of 107 Patients in the Past 20 Years. PLoS ONE. 10(4). e0122216–e0122216. 53 indexed citations
16.
Guo, Wei, Rongli Yang, Dasen Li, et al.. (2015). Reconstruction of segmental bone defect of long bones after tumor resection by devitalized tumor-bearing bone. World Journal of Surgical Oncology. 13(1). 282–282. 43 indexed citations
17.
Li, Dasen, Wei Guo, Rongli Yang, et al.. (2013). Experience with wound complications after surgery for sacral tumors. European Spine Journal. 22(9). 2069–2076. 42 indexed citations
18.
Ji, Tao, Wei Guo, Rongli Yang, Shun Tang, & Xiaojing Sun. (2011). Clinical outcome and quality of life after surgery for peri-acetabular metastases. Journal of Bone and Joint Surgery - British Volume. 93-B(8). 1104–1110. 21 indexed citations
19.
Tang, Xiaodong, Wei Guo, Rongli Yang, Shun Tang, & Yi Yang. (2009). Custom-made prosthesis replacement for reconstruction of elbow after tumor resection. Journal of Shoulder and Elbow Surgery. 18(5). 796–803. 33 indexed citations
20.
Guo, Wei, et al.. (2008). Dendritic Cell-Ewing’s Sarcoma Cell Hybrids Enhance Antitumor Immunity. Clinical Orthopaedics and Related Research. 466(9). 2176–2183. 20 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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