Kang Zou

1.9k citations
130 papers · 1.1k indexed · h-index 17

Kang Zou

112 papers receiving 1.0k citations

Peers

Kang Zou
Comparison fields: 5 of 147
  • Critical Care and Intensive Care Medicine 73
  • Statistics, Probability and Uncertainty 92
  • Obstetrics and Gynecology 75
  • Health Informatics 9
  • Endocrinology, Diabetes and Metabolism 111
Replace Yuelun Zhang with:
Yuelun Zhang China
Zhichao Jin China
Dipak Kotecha United Kingdom
You Hwan Jo South Korea
Ling Qiu China
Chantal Kopecky Austria
Susan van Dieren Netherlands
Matteo Vidali Italy
Patrick J. Twomey United Kingdom
Tamar S. Polonsky United States
Kang Zou relative to Yuelun Zhang China Yuelun Zhang's profile →
Citations per field
00.5×
Yuelun Zhang · 1×
Citations per year

Countries citing papers authored by Kang Zou

Since Specialization
Citations

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

Fields of papers citing papers by Kang Zou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Kang Zou, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Kang Zou Line = papers co-authored together Kang Zou links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20260
2 202510
3 20241
4 20243
5 20243
6 20240
7 20241
8 202316
9 20235
10 20231
11 20233
12 20229
13 20213
14 2020107
15 202035
16 20191
17 20196
18 201814
19
Differential evolution binary artificial bee colony algorithm based on global best
20133
20
The field induced scattering in PLZT electro-optic materials
20034

About Kang Zou

Kang Zou is a scholar working on Statistics, Probability and Uncertainty, Statistics and Probability and Critical Care and Intensive Care Medicine, having authored 130 papers that have together received 1.1k indexed citations. Recurring topics across this work include Meta-analysis and systematic reviews (25 papers), Health Systems, Economic Evaluations, Quality of Life (17 papers), Statistical Methods in Clinical Trials (15 papers), Advanced Causal Inference Techniques (9 papers), Pregnancy and preeclampsia studies (7 papers), Sepsis Diagnosis and Treatment (6 papers), Respiratory Support and Mechanisms (5 papers) and Acute Ischemic Stroke Management (5 papers). The work is most often cited by research in Critical Care and Intensive Care Medicine (73 citations), Statistics, Probability and Uncertainty (92 citations) and Obstetrics and Gynecology (75 citations). Kang Zou has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Xin Sun, Ling Li, Jing Tan, Yanmei Liu, Ke Deng, Jiali Liu, Yiquan Xiong, Yuning Wang, Yana Qi and Sheyu Li. Their work appears in journals such as Scientific Reports, Journal of Clinical Epidemiology and Frontiers in Immunology.

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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