Kuan‐Chih Chen

438 total citations
23 papers, 269 citations indexed

About

Kuan‐Chih Chen is a scholar working on Surgery, Gastroenterology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Kuan‐Chih Chen has authored 23 papers receiving a total of 269 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Surgery, 7 papers in Gastroenterology and 4 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Kuan‐Chih Chen's work include Gastrointestinal disorders and treatments (6 papers), Machine Learning in Healthcare (4 papers) and Gastrointestinal Tumor Research and Treatment (4 papers). Kuan‐Chih Chen is often cited by papers focused on Gastrointestinal disorders and treatments (6 papers), Machine Learning in Healthcare (4 papers) and Gastrointestinal Tumor Research and Treatment (4 papers). Kuan‐Chih Chen collaborates with scholars based in Taiwan and United States. Kuan‐Chih Chen's co-authors include Nihad Dukhan, Han-Taw Chen, Chi-Yu Yang, Feipei Lai, Chen‐Shuan Chung, Kuo‐Chin Hsu, Yu‐Cheng Lin, Lu-Cheng Kuo, Kuo-Hsin Chen and Li‐Jen Liao and has published in prestigious journals such as Scientific Reports, Water Resources Research and Radiology.

In The Last Decade

Kuan‐Chih Chen

21 papers receiving 260 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kuan‐Chih Chen Taiwan 9 88 79 64 54 54 23 269
Yucong Lin China 10 6 0.1× 12 0.2× 49 0.8× 85 1.6× 49 0.9× 49 329
Sandrine Voros France 12 11 0.1× 17 0.2× 290 4.5× 13 0.2× 292 5.4× 51 550
Yexin Liu China 10 7 0.1× 105 1.3× 21 0.3× 21 0.4× 12 0.2× 22 398
Long Bai China 9 20 0.2× 14 0.2× 34 0.5× 29 0.5× 12 0.2× 26 168
Michele Tonutti United Kingdom 4 8 0.1× 13 0.2× 71 1.1× 27 0.5× 56 1.0× 4 175
Arun Iyengar United States 8 71 0.8× 30 0.4× 43 0.7× 7 0.1× 43 0.8× 30 320
Gabriel Kiss Norway 12 10 0.1× 11 0.1× 71 1.1× 73 1.4× 89 1.6× 59 549
Rana Zakerzadeh United States 10 168 1.9× 38 0.5× 79 1.2× 24 0.4× 89 1.6× 23 423
Lucas Pereira Germany 8 5 0.1× 92 1.2× 117 1.8× 52 1.0× 24 0.4× 23 405
Doo‐Ho Lee South Korea 12 6 0.1× 49 0.6× 55 0.9× 13 0.2× 182 3.4× 49 470

Countries citing papers authored by Kuan‐Chih Chen

Since Specialization
Citations

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

Fields of papers citing papers by Kuan‐Chih Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kuan‐Chih Chen. 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 Kuan‐Chih Chen. The network helps show where Kuan‐Chih Chen may publish in the future.

Co-authorship network of co-authors of Kuan‐Chih Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Kuan‐Chih Chen. A scholar is included among the top collaborators of Kuan‐Chih Chen 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 Kuan‐Chih Chen. Kuan‐Chih Chen 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.
2.
Chu, Yuan-Chia, Feipei Lai, Kuan‐Chih Chen, et al.. (2022). Training a Deep Contextualized Language Model for International Classification of Diseases, 10th Revision Classification via Federated Learning: Model Development and Validation Study. JMIR Medical Informatics. 10(11). e41342–e41342. 8 indexed citations
3.
Chen, Kuan‐Chih, et al.. (2022). Automatic International Classification of Diseases Coding System: Deep Contextualized Language Model With Rule-Based Approaches. JMIR Medical Informatics. 10(6). e37557–e37557. 8 indexed citations
4.
Chen, Li‐Chin, Feipei Lai, Cheng-Wei Lü, et al.. (2022). Predicting Postoperative Mortality With Deep Neural Networks and Natural Language Processing: Model Development and Validation. JMIR Medical Informatics. 10(5). e38241–e38241. 14 indexed citations
5.
Chung, Chen‐Shuan, Chieh‐Chang Chen, Kuan‐Chih Chen, et al.. (2022). Randomized controlled trial of early endoscopy for upper gastrointestinal bleeding in acute coronary syndrome patients. Scientific Reports. 12(1). 5798–5798. 3 indexed citations
6.
Kuo, Lu-Cheng, et al.. (2021). Automatic ICD-10 Coding and Training System: Deep Neural Network Based on Supervised Learning. JMIR Medical Informatics. 9(8). e23230–e23230. 43 indexed citations
7.
Chung, Chen‐Shuan, Tien‐Yu Huang, Kuan‐Chih Chen, et al.. (2021). Efficacy and safety of gastric peroral endoscopic myotomy (G-POEM) for refractory gastroparesis: 3-year follow up results. Journal of the Formosan Medical Association. 121(7). 1334–1341. 7 indexed citations
8.
Chen, Kuan‐Chih, et al.. (2021). Case 296: Phlebosclerotic Colitis. Radiology. 301(3). 735–740. 2 indexed citations
9.
Chen, Kuo-Hsin, et al.. (2020). Peroral endoscopic tumor resection (POET) with preserved mucosa technique for management of upper gastrointestinal tract subepithelial tumors. Surgical Endoscopy. 35(7). 3753–3762. 4 indexed citations
10.
Chung, Chen‐Shuan, et al.. (2020). Surveillance of Rejection After Intestinal Transplantation Using an Image Enhanced Endoscopy “VENCH” Scoring System. Transplantation Proceedings. 53(1). 364–370. 2 indexed citations
11.
Chen, Kuan‐Chih, Mei‐Fang Cheng, Chia‐Chi Lin, et al.. (2020). Endoscopic ultrasound ablation in a patient with multiple metastatic pancreatic tumors from adrenocorticotropic hormone‐producing thymic neuroendocrine neoplasm. Digestive Endoscopy. 33(3). 458–463. 3 indexed citations
12.
13.
Chen, Kuan‐Chih, et al.. (2019). Importance of tissue acquisition in gastric submucosal tumor with unusual EUS features. Gastrointestinal Endoscopy. 89(6). 1252–1254. 1 indexed citations
14.
Chen, Kuan‐Chih, et al.. (2019). Distributed Deep Neural Network Deployment for Smart Devices from the Edge to the Cloud. 43–48. 9 indexed citations
15.
Chung, Chen‐Shuan, et al.. (2018). Emergent single-balloon enteroscopy for overt bleeding of small intestinal vascular malformation. World Journal of Gastroenterology. 24(1). 157–160. 8 indexed citations
16.
Chen, Kuan‐Chih, Chen‐Shuan Chung, Wei‐Fan Hsu, et al.. (2017). Identification of risk factors for neoplastic colonic polyps in young adults with bloody stool in comparison with those without symptom. Journal of Gastroenterology and Hepatology. 33(7). 1335–1340. 8 indexed citations
17.
Chung, Chen‐Shuan, Chi‐Ming Tai, Chen‐Wang Chang, et al.. (2017). Small bowel tumors: A digestive endoscopy society of Taiwan (DEST) multicenter enteroscopy-based epidemiologic study. Journal of the Formosan Medical Association. 117(8). 705–710. 10 indexed citations
18.
Chen, Kuan‐Chih, Yun Chen, Tzong‐Hsi Lee, & Chen‐Shuan Chung. (2016). Peutz-Jeghers syndrome complicated with small bowel intussusception managed by laparoscopy-assisted transoral single-balloon enteroscopy. Digestive and Liver Disease. 48(9). 1098–1098. 1 indexed citations
19.
Chen, Han-Taw & Kuan‐Chih Chen. (1991). Simple method for transient response of gas-to-gas cross-flow heat exchangers with neither gas mixed. International Journal of Heat and Mass Transfer. 34(11). 2891–2898. 18 indexed citations
20.
Liu, Ta‐Jo & Kuan‐Chih Chen. (1987). Generalized Couette flow in channels of irregular cross‐section. Journal of the Chinese Institute of Engineers. 10(3). 345–352. 2 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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