Mu‐hua Cheng

69 total papers · 660 total citations
33 papers, 459 citations indexed

About

Mu‐hua Cheng is a scholar working on Surgery, Pulmonary and Respiratory Medicine and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Mu‐hua Cheng has authored 33 papers receiving a total of 459 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Surgery, 8 papers in Pulmonary and Respiratory Medicine and 8 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Mu‐hua Cheng's work include Salivary Gland Tumors Diagnosis and Treatment (4 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and Medical Imaging Techniques and Applications (3 papers). Mu‐hua Cheng is often cited by papers focused on Salivary Gland Tumors Diagnosis and Treatment (4 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and Medical Imaging Techniques and Applications (3 papers). Mu‐hua Cheng collaborates with scholars based in China, United States and Taiwan. Mu‐hua Cheng's co-authors include Kwan-Hoong Ng, Chai Hong Yeong, Jianfang Li, Hong Shan, Guangsen Zheng, Fangyu Peng, Lu Han, Guiqing Liao, Yu‐Xiong Su and Fang Xie and has published in prestigious journals such as Journal of Medicinal Chemistry, Acta Biomaterialia and Medicine.

In The Last Decade

Mu‐hua Cheng

31 papers receiving 443 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Mu‐hua Cheng	116	103	81	53	52	33	459
Florian Siedek	186 1.6×	75 0.7×	62 0.8×	45 0.8×	59 1.1×	30	487
Daryoush Tavanaiepour	32 0.3×	81 0.8×	91 1.1×	57 1.1×	96 1.8×	34	521
Shahin Zandieh	146 1.3×	122 1.2×	100 1.2×	41 0.8×	20 0.4×	40	435
Ina Israel	220 1.9×	51 0.5×	122 1.5×	19 0.4×	105 2.0×	23	516
Jeffrey I. Traylor	54 0.5×	71 0.7×	122 1.5×	13 0.2×	68 1.3×	47	462
J. Rode	33 0.3×	58 0.6×	186 2.3×	48 0.9×	65 1.3×	28	444
Andrea Franzini	102 0.9×	80 0.8×	45 0.6×	39 0.7×	21 0.4×	55	515
Jairo Wagner	99 0.9×	68 0.7×	113 1.4×	42 0.8×	40 0.8×	34	500
Dapeng Hao	195 1.7×	66 0.6×	25 0.3×	17 0.3×	52 1.0×	14	498
Eun Seong Lee	153 1.3×	38 0.4×	106 1.3×	65 1.2×	110 2.1×	34	449

Countries citing papers authored by Mu‐hua Cheng

Since Specialization

Citations

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

Fields of papers citing papers by Mu‐hua Cheng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mu‐hua Cheng. 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 Mu‐hua Cheng. The network helps show where Mu‐hua Cheng may publish in the future.

Co-authorship network of co-authors of Mu‐hua Cheng

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

All Works

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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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