Kwok‐Hung Yu

546 total citations
8 papers, 446 citations indexed

About

Kwok‐Hung Yu is a scholar working on Radiology, Nuclear Medicine and Imaging, Otorhinolaryngology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Kwok‐Hung Yu has authored 8 papers receiving a total of 446 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Radiology, Nuclear Medicine and Imaging, 4 papers in Otorhinolaryngology and 2 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Kwok‐Hung Yu's work include Head and Neck Cancer Studies (4 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and MRI in cancer diagnosis (3 papers). Kwok‐Hung Yu is often cited by papers focused on Head and Neck Cancer Studies (4 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and MRI in cancer diagnosis (3 papers). Kwok‐Hung Yu collaborates with scholars based in China, Hong Kong and Australia. Kwok‐Hung Yu's co-authors include Ann D. King, Kunwar S. Bhatia, Alexander C. Vlantis, Frankie Mo, Anil T. Ahuja, Steven Kwok Keung Chow, Jing Yuan, Gary M. Tse, David K.W. Yeung and David K. W. Yeung and has published in prestigious journals such as PLoS ONE, Radiology and International Journal of Radiation Oncology*Biology*Physics.

In The Last Decade

Kwok‐Hung Yu

8 papers receiving 442 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kwok‐Hung Yu China	8	338	172	99	55	51	8	446
Youping Xiao China	13	195 0.6×	367 2.1×	54 0.5×	224 4.1×	124 2.4×	35	530
Thomas Koopman Netherlands	11	268 0.8×	108 0.6×	15 0.2×	38 0.7×	38 0.7×	19	343
Wai Kuen Kan China	4	77 0.2×	295 1.7×	10 0.1×	180 3.3×	131 2.6×	8	387
Seng Chuan Ong Singapore	8	161 0.5×	233 1.4×	6 0.1×	184 3.3×	98 1.9×	8	391
Witold Cholewiński Poland	8	170 0.5×	29 0.2×	7 0.1×	47 0.9×	111 2.2×	53	341
Minh Thi Tieu Australia	10	118 0.3×	59 0.3×	7 0.1×	61 1.1×	86 1.7×	16	345
Albert W.M. Hung China	6	126 0.4×	153 0.9×	7 0.1×	101 1.8×	83 1.6×	10	399
Sedat Türkan Türkiye	8	23 0.1×	118 0.7×	19 0.2×	145 2.6×	78 1.5×	10	295
Qiaoying Hu China	12	75 0.2×	162 0.9×	5 0.1×	100 1.8×	72 1.4×	27	311
Samuel Leung France	7	68 0.2×	161 0.9×	7 0.1×	142 2.6×	125 2.5×	7	377

Countries citing papers authored by Kwok‐Hung Yu

Since Specialization

Citations

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

Fields of papers citing papers by Kwok‐Hung Yu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kwok‐Hung Yu. 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 Kwok‐Hung Yu. The network helps show where Kwok‐Hung Yu may publish in the future.

Co-authorship network of co-authors of Kwok‐Hung Yu

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

All Works

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8 of 8 papers shown

King, Ann D., Kwok‐Hung Yu, Frankie Mo, et al.. (2016). Cervical nodal metastases from head and neck squamous cell carcinoma: MRI criteria for treatment assessment. Head & Neck. 38(S1). E1598–604. 12 indexed citations

King, Ann D., Steven Kwok Keung Chow, Kwok‐Hung Yu, et al.. (2015). DCE-MRI for Pre-Treatment Prediction and Post-Treatment Assessment of Treatment Response in Sites of Squamous Cell Carcinoma in the Head and Neck. PLoS ONE. 10(12). e0144770–e0144770. 24 indexed citations

King, Ann D., Steven Kwok Keung Chow, Kwok‐Hung Yu, et al.. (2012). Head and Neck Squamous Cell Carcinoma: Diagnostic Performance of Diffusion-weighted MR Imaging for the Prediction of Treatment Response. Radiology. 266(2). 531–538. 191 indexed citations

King, Ann D., Frankie Mo, Kwok‐Hung Yu, et al.. (2010). Squamous cell carcinoma of the head and neck: diffusion-weighted MR imaging for prediction and monitoring of treatment response. European Radiology. 20(9). 2213–2220. 141 indexed citations

King, Ann D., David K. W. Yeung, Kwok‐Hung Yu, et al.. (2010). Pretreatment and early intratreatment prediction of clinicopathologic response of head and neck cancer to chemoradiotherapy using ¹H‐MRS. Journal of Magnetic Resonance Imaging. 32(1). 199–203. 15 indexed citations

Tse, Gary M., Ann D. King, Alex M C Yu, et al.. (2010). Correlation of biomarkers in head and neck squamous cell carcinoma. Otolaryngology. 143(6). 795–800. 12 indexed citations

Chau, Ricky Ming-chun, et al.. (2009). A Broadly Adaptive Array of Dose-Constraint Templates for Planning of Intensity-Modulated Radiation Therapy for Advanced T-Stage Nasopharyngeal Carcinoma. International Journal of Radiation Oncology*Biology*Physics. 74(1). 21–28. 9 indexed citations

Tse, Gary M., Anthony W.H. Chan, Kwok‐Hung Yu, et al.. (2007). Strong Immunohistochemical Expression of Vascular Endothelial Growth Factor Predicts Overall Survival in Head and Neck Squamous Cell Carcinoma. Annals of Surgical Oncology. 14(12). 3558–3565. 42 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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