Kaikai Wei

460 citations
11 papers · 343 indexed · 1 hit paper · h-index 7
Topics
Radiomics and Machine Learning in Medical Imaging (5 papers)Gastric Cancer Management and Outcomes (5 papers)Gastrointestinal Tumor Research and Treatment (2 papers)
Partner nations
ChinaUnited States

In The Last Decade

Kaikai Wei

10 papers receiving 336 citations

Hit Papers

A CT-based deep learning radiomics nomogram for predictin...20222026202320242022255075100

Peers

Kaikai Wei
Comparison fields: 5 of 46
  • Radiology, Nuclear Medicine and Imaging 282
  • Pulmonary and Respiratory Medicine 153
  • Hepatology 135
  • Oncology 86
  • Surgery 45
Replace Zongqiong Sun with:
Zongqiong Sun China
Yingmei Jia China
Chuangen Guo China
Friederike Prinz Germany
Yuan‐Mao Lin United States
Xiaping Chen China
L Hunter United States
Shaocheng Zhu China
Su Yeon Ahn South Korea
Kaikai Wei relative to Zongqiong Sun China Zongqiong Sun's profile →
Citations per field
00.5×4.7×
Zongqiong Sun · 1×
Citations per year

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
#WorkIndexed citations
1 2
2 1
3 7
4 21
5
A CT-based deep learning radiomics nomogram for predicting the response to neoadjuvant chemotherapy in patients with locally advanced gastric cancer: A multicenter cohort studybreakdown →
108
6 27
7 1
8 0
9 159
10 6
11 11

About Kaikai Wei

Kaikai Wei is a scholar working on Gastroenterology, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine, having authored 11 papers that have together received 343 indexed citations. Recurring topics across this 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). The work is most often cited by research in Hepatology (135 citations), Radiology, Nuclear Medicine and Imaging (282 citations) and Pulmonary and Respiratory Medicine (153 citations). Kaikai Wei has collaborated with scholars based in China and United States. Frequent co-authors include Xiaochun Meng, Jiayi Zhang, Zhenhui Li, Jialiang Ren, Yanfen Cui, Xiaotang Yang, Zhenwei Shi, Xin Gao, Lei Wu and Lei Ye. Their work appears in journals such as Biochemical and Biophysical Research Communications, BMC Cancer and European Radiology.

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

Rankless by CCL
2026