Kaikai Wei

460 total citations · 1 hit paper
11 papers, 343 citations indexed

About

Kaikai Wei is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Surgery. According to data from OpenAlex, Kaikai Wei has authored 11 papers receiving a total of 343 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Pulmonary and Respiratory Medicine, 6 papers in Radiology, Nuclear Medicine and Imaging and 4 papers in Surgery. Recurrent topics in Kaikai Wei's work include Radiomics and Machine Learning in Medical Imaging (5 papers), Gastric Cancer Management and Outcomes (5 papers) and Gastrointestinal Tumor Research and Treatment (2 papers). Kaikai Wei is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (5 papers), Gastric Cancer Management and Outcomes (5 papers) and Gastrointestinal Tumor Research and Treatment (2 papers). Kaikai Wei collaborates with scholars based in China and United States. Kaikai Wei's co-authors include Xiaochun Meng, Jiayi Zhang, Zhenhui Li, Jialiang Ren, Yanfen Cui, Xiaotang Yang, Zhenwei Shi, Xin Gao, Lei Wu and Lei Ye and has published in prestigious journals such as Biochemical and Biophysical Research Communications, BMC Cancer and European Radiology.

In The Last Decade

Kaikai Wei

10 papers receiving 336 citations

Hit Papers

A CT-based deep learning radiomics nomogram for predictin... 2022 2026 2023 2024 2022 25 50 75 100
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. A CT-based deep learning radiomics nomogram for predicting the response to neoadjuvant chemotherapy in patients with locally advanced gastric cancer: A multicenter cohort study
    2022 108 citations Yanfen Cui, Jiayi Zhang et al. EClinicalMedicine profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kaikai Wei China 7 282 153 135 86 45 11 343
Zongqiong Sun China 12 244 0.9× 125 0.8× 29 0.2× 74 0.9× 74 1.6× 36 334
Yuan‐Mao Lin United States 11 114 0.4× 78 0.5× 152 1.1× 49 0.6× 58 1.3× 26 284
Yingmei Jia China 7 309 1.1× 87 0.6× 242 1.8× 82 1.0× 50 1.1× 10 377
Chuangen Guo China 11 188 0.7× 68 0.4× 65 0.5× 238 2.8× 51 1.1× 25 395
Friederike Prinz Germany 6 60 0.2× 159 1.0× 92 0.7× 99 1.2× 160 3.6× 9 317
Shaocheng Zhu China 9 307 1.1× 115 0.8× 173 1.3× 30 0.3× 66 1.5× 12 365
Salvatore Claudio Fanni Italy 9 220 0.8× 69 0.5× 26 0.2× 52 0.6× 21 0.5× 36 276
Xiaping Chen China 4 211 0.7× 171 1.1× 11 0.1× 89 1.0× 54 1.2× 5 298

Countries citing papers authored by Kaikai Wei

Since Specialization
Citations

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

Fields of papers citing papers by Kaikai Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kaikai Wei

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

All Works

11 of 11 papers shown
1.
Liu, Dan, Kaikai Wei, Zhong Lin Wang, et al.. (2025). Carcinoembryonic antigen trajectory predicts pathological complete response in advanced gastric cancer after neoadjuvant chemotherapy. Frontiers in Oncology. 15. 1525324–1525324. 2 indexed citations
2.
3.
Yang, Ding, et al.. (2023). PER1 promotes functional recovery of mice with hindlimb ischemia by inducing anti-inflammatory macrophage polarization. Biochemical and Biophysical Research Communications. 644. 62–69. 7 indexed citations
4.
Zhang, Jiayi, Yanfen Cui, Kaikai Wei, et al.. (2022). Deep learning predicts resistance to neoadjuvant chemotherapy for locally advanced gastric cancer: a multicenter study. Gastric Cancer. 25(6). 1050–1059. 21 indexed citations
5.
Cui, Yanfen, Jiayi Zhang, Zhenhui Li, et al.. (2022). A CT-based deep learning radiomics nomogram for predicting the response to neoadjuvant chemotherapy in patients with locally advanced gastric cancer: A multicenter cohort study. EClinicalMedicine. 46. 101348–101348. 108 indexed citations breakdown →
6.
Chen, Yonghe, Kaikai Wei, Dan Liu, et al.. (2021). A Machine Learning Model for Predicting a Major Response to Neoadjuvant Chemotherapy in Advanced Gastric Cancer. Frontiers in Oncology. 11. 675458–675458. 27 indexed citations
7.
Chen, Yonghe, Jun Xiang, Dan Liu, et al.. (2021). Multidisciplinary team consultation for resectable Gastric Cancer: A propensity score matching analysis. Journal of Cancer. 12(7). 1907–1914. 1 indexed citations
8.
9.
Feng, Shi‐Ting, Yingmei Jia, Bing Liao, et al.. (2019). Preoperative prediction of microvascular invasion in hepatocellular cancer: a radiomics model using Gd-EOB-DTPA-enhanced MRI. European Radiology. 29(9). 4648–4659. 159 indexed citations
10.
11.
Wei, Kaikai & Huifang Su. (2016). Potential Application of Radiomics for Differentiating Solitary Pulmonary Nodules. PubMed. 5(2). 11 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

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2026