Sikai Wu

1.7k total citations
36 papers, 1.4k citations indexed

About

Sikai Wu is a scholar working on Materials Chemistry, Electrical and Electronic Engineering and Renewable Energy, Sustainability and the Environment. According to data from OpenAlex, Sikai Wu has authored 36 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Materials Chemistry, 7 papers in Electrical and Electronic Engineering and 7 papers in Renewable Energy, Sustainability and the Environment. Recurrent topics in Sikai Wu's work include Radiomics and Machine Learning in Medical Imaging (6 papers), Advanced Photocatalysis Techniques (6 papers) and Colorectal Cancer Surgical Treatments (5 papers). Sikai Wu is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (6 papers), Advanced Photocatalysis Techniques (6 papers) and Colorectal Cancer Surgical Treatments (5 papers). Sikai Wu collaborates with scholars based in China, United States and United Kingdom. Sikai Wu's co-authors include Yujie Xiong, Hangxun Xu, Guoqing Zhang, Jinlong Yang, Xiaojun Wu, Lei Wang, Yanjun Ding, Ying Zhang, Xinlei Zhang and Yangyang Wan and has published in prestigious journals such as Journal of the American Chemical Society, Advanced Materials and ACS Nano.

In The Last Decade

Sikai Wu

27 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sikai Wu China 14 1.1k 649 451 229 201 36 1.4k
Sateesh Bandaru China 23 730 0.7× 310 0.5× 328 0.7× 232 1.0× 242 1.2× 98 1.6k
Dongcai Guo China 18 766 0.7× 214 0.3× 306 0.7× 91 0.4× 252 1.3× 69 1.1k
Desmond Schipper United States 18 818 0.7× 401 0.6× 284 0.6× 137 0.6× 107 0.5× 73 1.3k
Wen‐Bin Chen China 22 1.1k 1.0× 232 0.4× 225 0.5× 130 0.6× 115 0.6× 99 1.6k
Jingwei Liu China 16 784 0.7× 420 0.6× 832 1.8× 269 1.2× 50 0.2× 77 1.7k
Benjamin Probst Switzerland 22 802 0.7× 1.3k 2.0× 500 1.1× 93 0.4× 173 0.9× 47 2.0k
Yuancheng Wang China 17 942 0.9× 444 0.7× 205 0.5× 140 0.6× 128 0.6× 30 1.1k
Martin Schulz Germany 21 591 0.5× 607 0.9× 292 0.6× 39 0.2× 343 1.7× 63 1.5k
Liangsheng Qiang China 20 703 0.6× 578 0.9× 398 0.9× 59 0.3× 51 0.3× 50 1.2k

Countries citing papers authored by Sikai Wu

Since Specialization
Citations

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

Fields of papers citing papers by Sikai Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sikai Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Sikai Wu. A scholar is included among the top collaborators of Sikai 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 Sikai Wu. Sikai Wu 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.
Ao, Weiqun, et al.. (2025). Can Habitat-Based MRI Radiomics Distinguish Between T2 and T3 Stages in Rectal Cancer?. Academic Radiology. 32(9). 5278–5289. 1 indexed citations
2.
Xie, Jinling, et al.. (2025). Research on predicting the risk level of coal mine roof accident based on machine learning. Scientific Reports. 15(1). 24028–24028.
3.
Zhang, Jing, Jiachao Xu, Yuling Tian, et al.. (2025). In Situ Selenization Induced Electron‐Rich Pd with Weakened O2 Adsorption for Boosted Photocatalytic H2O2 Production. Chemistry - A European Journal. 31(11). e202403934–e202403934.
4.
Ao, Weiqun, Sikai Wu, Neng Wang, et al.. (2025). Novel deep learning algorithm based MRI radiomics for predicting lymph node metastases in rectal cancer. Scientific Reports. 15(1). 12089–12089. 4 indexed citations
5.
Wang, Zhipu, et al.. (2025). Effect of catalysts on the conversion of sulfur, nitrogen, and oxygen during catalytic/additives pyrolysis of oil sludge. Journal of environmental chemical engineering. 13(5). 118657–118657.
6.
Wu, Sikai, Minhua Ye, Guochao Zhang, et al.. (2025). Tumor deposits in the impact of esophageal squamous cell carcinoma prognosis and recurrence: A multicenter retrospective cohort study. European Journal of Surgical Oncology. 51(9). 110296–110296.
7.
Wang, Neng, Sikai Wu, Jian Wang, et al.. (2024). Machine Learning Based on Digital Mammography to Reduce the Need for Invasive Biopsies of Benign Calcifications Classified in BI-RADS Category 4. Journal of Imaging Informatics in Medicine. 38(4). 2134–2145.
8.
9.
Zhu, Xiandi, et al.. (2024). MRI-based radiomics for preoperative prediction of recurrence and metastasis in rectal cancer. Abdominal Radiology. 49(4). 1306–1319. 8 indexed citations
10.
Wu, Sikai, et al.. (2024). Deep learning-based multi-parametric magnetic resonance imaging (mp-MRI) nomogram for predicting Ki-67 expression in rectal cancer. Abdominal Radiology. 49(9). 3003–3014. 2 indexed citations
11.
Wu, Sikai, Xuefei Wang, & Huogen Yu. (2024). Hydroxyl-enriched hydrous tin dioxide-coated BiVO4 with boosted photocatalytic H2O2 production. Chinese Journal of Structural Chemistry. 43(12). 100457–100457. 8 indexed citations
12.
Ao, Weiqun, Neng Wang, Xu Chen, et al.. (2024). Multiparametric MRI-Based Deep Learning Models for Preoperative Prediction of Tumor Deposits in Rectal Cancer and Prognostic Outcome. Academic Radiology. 32(3). 1451–1464. 5 indexed citations
13.
Wu, Sikai, Jordan M. Cox, Steven A. Lopez, et al.. (2022). Mechanistic insights into the pressure-induced polymerization of aryl/perfluoroaryl co-crystals. Polymer Chemistry. 13(10). 1359–1368. 13 indexed citations
14.
Shen, Peng, Sikai Wu, Zhihai Cheng, et al.. (2022). Effect of Al modification on the adsorption of As2O3 on the CaSiO3(001) surface: A DFT study. Journal of Molecular Graphics and Modelling. 118. 108357–108357. 16 indexed citations
15.
Wu, Sikai, et al.. (2022). The role of miR-145-5p in esophageal squamous cell carcinoma tumor-associated macrophages and selection of immunochemotherapy. Journal of Thoracic Disease. 14(7). 2493–2510. 6 indexed citations
16.
Wu, Sikai, Bo Chen, Tao Wang, et al.. (2021). Scalable Synthesis of Crystalline One-Dimensional Carbon Nanothreads through Modest-Pressure Polymerization of Furan. ACS Nano. 15(3). 4134–4143. 48 indexed citations
17.
Wu, Sikai, Bo Chen, Tao Wang, et al.. (2020). ‘Sacrificial’ supramolecular assembly and pressure-induced polymerization: toward sequence-defined functionalized nanothreads. Chemical Science. 11(42). 11419–11424. 30 indexed citations
18.
Chen, Fang, et al.. (2016). Biosorption of Zn<sup>2+</sup> and Ni<sup>2+</sup>, Cu<sup>2+</sup> by Four Kinds of Active Microalgae. Journal of Materials Science and Chemical Engineering. 4(11). 12–19. 2 indexed citations
19.
Greenfield, Roy J. & Sikai Wu. (1991). Electromagnetic wave propagation in disrupted coal seams. Geophysics. 56(10). 1571–1577. 17 indexed citations
20.
Wu, Sikai & F. T. S. Yu. (1981). Image subtraction with an encoded extended incoherent source. Applied Optics. 20(23). 4082–4082. 14 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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