Guilan Kong

1.6k total citations
57 papers, 1.1k citations indexed

About

Guilan Kong is a scholar working on Artificial Intelligence, Epidemiology and Nephrology. According to data from OpenAlex, Guilan Kong has authored 57 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 13 papers in Epidemiology and 10 papers in Nephrology. Recurrent topics in Guilan Kong's work include Machine Learning in Healthcare (8 papers), Chronic Disease Management Strategies (6 papers) and Dialysis and Renal Disease Management (6 papers). Guilan Kong is often cited by papers focused on Machine Learning in Healthcare (8 papers), Chronic Disease Management Strategies (6 papers) and Dialysis and Renal Disease Management (6 papers). Guilan Kong collaborates with scholars based in China, United Kingdom and United States. Guilan Kong's co-authors include Dong‐Ling Xu, Yonghua Hu, Ke Lin, Jian-Bo Yang, Jianbo Yang, Luxia Zhang, Baoguo Jiang, Kevin Mackway‐Jones, Richard Body and Simon Carley and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Hazardous Materials.

In The Last Decade

Guilan Kong

52 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Guilan Kong China 20 360 183 159 117 98 57 1.1k
Kee Yuan Ngiam Singapore 17 532 1.5× 217 1.2× 275 1.7× 41 0.4× 124 1.3× 71 2.0k
Emmanuel Chazard France 19 158 0.4× 149 0.8× 172 1.1× 53 0.5× 78 0.8× 127 1.1k
Gloria Lipori United States 12 409 1.1× 102 0.6× 131 0.8× 52 0.4× 54 0.6× 26 1.1k
Chien‐Yeh Hsu Taiwan 23 146 0.4× 144 0.8× 220 1.4× 40 0.3× 172 1.8× 114 1.8k
Alex Bui United States 25 509 1.4× 168 0.9× 232 1.5× 61 0.5× 151 1.5× 142 2.1k
Dukyong Yoon South Korea 22 131 0.4× 116 0.6× 158 1.0× 39 0.3× 50 0.5× 99 1.4k
Matthieu Komorowski United Kingdom 20 694 1.9× 470 2.6× 156 1.0× 32 0.3× 92 0.9× 63 2.3k
Hyung‐Jin Yoon South Korea 18 125 0.3× 138 0.8× 108 0.7× 26 0.2× 102 1.0× 87 1.4k
Ofir Ben‐Assuli Israel 18 166 0.5× 116 0.6× 403 2.5× 94 0.8× 223 2.3× 61 1.0k
Chris Kelman Australia 15 110 0.3× 192 1.0× 93 0.6× 117 1.0× 175 1.8× 23 961

Countries citing papers authored by Guilan Kong

Since Specialization
Citations

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

Fields of papers citing papers by Guilan Kong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guilan Kong

This figure shows the co-authorship network connecting the top 25 collaborators of Guilan Kong. A scholar is included among the top collaborators of Guilan Kong 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 Guilan Kong. Guilan Kong 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.
Xiong, Minqi, et al.. (2025). Large Language Models in Critical Care Medicine: Scoping Review. JMIR Medical Informatics. 13. e76326–e76326.
2.
Hong, Shenda, et al.. (2024). Cross-modal similar clinical case retrieval using a modular model based on contrastive learning and k-nearest neighbor search. International Journal of Medical Informatics. 193. 105680–105680.
3.
Gao, Bixia, et al.. (2024). Identifying subtypes of type 2 diabetes mellitus based on real-world electronic medical record data in China. Diabetes Research and Clinical Practice. 217. 111872–111872. 1 indexed citations
4.
Kong, Guilan, et al.. (2024). Acute Kidney Injury Prognosis Prediction Using Machine Learning Methods: A Systematic Review. Kidney Medicine. 7(1). 100936–100936. 5 indexed citations
5.
Zeng, Meng, Beiji Zou, Wensheng Zhang, et al.. (2023). Two-layer partitioned and deletable deep bloom filter for large-scale membership query. Information Systems. 119. 102267–102267. 3 indexed citations
6.
Chen, Zhi, et al.. (2023). Medical visual question answering with symmetric interaction attention and cross-modal gating. Biomedical Signal Processing and Control. 85. 105049–105049. 1 indexed citations
7.
Chen, Zhi, et al.. (2023). Medical Visual Question Answering with Symmetric Interaction Attention and Cross-Modal Gating. SSRN Electronic Journal. 1 indexed citations
8.
Wang, Chu, Pan Hu, Haibo Wang, et al.. (2023). China trauma treatment statistics 2019: A national retrospective study based on hospitalized cases. Frontiers in Public Health. 11. 1116828–1116828. 10 indexed citations
9.
Li, Yun, Rongrong Fan, Huayan Li, et al.. (2022). Prevalence of psychological symptoms and associated risk factors among nurses in 30 provinces during the COVID-19 pandemic in China. The Lancet Regional Health - Western Pacific. 30. 100618–100618. 36 indexed citations
10.
Chen, Rui, Chao Yang, Pengfei Li, et al.. (2022). Long-Term Exposure to Ambient PM2.5, Sunlight, and Obesity: A Nationwide Study in China. Frontiers in Endocrinology. 12. 790294–790294. 19 indexed citations
11.
Liu, Wenwen, Chao Yang, Lili Liu, Guilan Kong, & Luxia Zhang. (2022). Bidirectional associations of vision loss, hearing loss, and dual sensory loss with depressive symptoms among the middle-aged and older adults in China. Journal of Affective Disorders. 301. 225–232. 20 indexed citations
12.
Kong, Guilan, Jingyi Wu, Hong Chu, et al.. (2021). Predicting Prolonged Length of Hospital Stay for Peritoneal Dialysis–Treated Patients Using Stacked Generalization: Model Development and Validation Study. JMIR Medical Informatics. 9(5). e17886–e17886. 12 indexed citations
13.
Chen, Rui, Chao Yang, Hong Chu, et al.. (2021). Association of cardiovascular disease with 30-day hospital readmission in Chinese patients receiving maintenance dialysis. Annals of Translational Medicine. 9(8). 617–617. 3 indexed citations
14.
Liu, Wenwen, Qinqin Meng, Yafeng Wang, et al.. (2020). The association between reduced kidney function and hearing loss: a cross-sectional study. BMC Nephrology. 21(1). 145–145. 20 indexed citations
15.
Wu, Jingyi, Guilan Kong, Yu Lin, et al.. (2020). Development of a scoring tool for predicting prolonged length of hospital stay in peritoneal dialysis patients through data mining. Annals of Translational Medicine. 8(21). 1437–1437. 12 indexed citations
16.
Yang, Chao, Qinqin Meng, Huaiyu Wang, et al.. (2020). Anemia and Kidney Function Decline among the Middle‐Aged and Elderly in China: A Population‐Based National Longitudinal Study. BioMed Research International. 2020(1). 2303541–2303541. 7 indexed citations
17.
18.
Lin, Ke, Yonghua Hu, & Guilan Kong. (2019). Predicting in-hospital mortality of patients with acute kidney injury in the ICU using random forest model. International Journal of Medical Informatics. 125. 55–61. 110 indexed citations
19.
Zhang, Zhongheng, et al.. (2019). The contributor roles for randomized controlled trials and the proposal for a novel CRediT-RCT. Annals of Translational Medicine. 7(24). 812–812. 4 indexed citations
20.
Kong, Guilan, Xiaofeng Yin, Tianbing Wang, et al.. (2015). Current state of trauma care in China, tools to predict death and ICU admission after arrival to hospital. Injury. 46(9). 1784–1789. 9 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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