Anhua Li

743 total citations
16 papers, 508 citations indexed

About

Anhua Li is a scholar working on Artificial Intelligence, Pathology and Forensic Medicine and Oncology. According to data from OpenAlex, Anhua Li has authored 16 papers receiving a total of 508 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 4 papers in Pathology and Forensic Medicine and 4 papers in Oncology. Recurrent topics in Anhua Li's work include AI in cancer detection (8 papers), Breast Lesions and Carcinomas (4 papers) and Digital Radiography and Breast Imaging (3 papers). Anhua Li is often cited by papers focused on AI in cancer detection (8 papers), Breast Lesions and Carcinomas (4 papers) and Digital Radiography and Breast Imaging (3 papers). Anhua Li collaborates with scholars based in China, France and United States. Anhua Li's co-authors include Feng Han, Jianwei Wang, Xi Lin, Jianhua Fu, Dong Ni, Min Xu, Xiao Luo, Chenchen Qin, Tianfu Wang and Yi Wang and has published in prestigious journals such as PLoS ONE, Radiology and IEEE Transactions on Medical Imaging.

In The Last Decade

Anhua Li

16 papers receiving 499 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Anhua Li China	11	250	218	99	91	73	16	508
Chih‐Horng Wu Taiwan	11	43 0.2×	137 0.6×	28 0.3×	45 0.5×	138 1.9×	33	376
Soo‐Youn Ham South Korea	9	105 0.4×	167 0.8×	28 0.3×	123 1.4×	7 0.1×	36	345
Ruimei Chai China	13	187 0.7×	320 1.5×	19 0.2×	62 0.7×	11 0.2×	24	408
Romuald Ferré Canada	11	149 0.6×	269 1.2×	103 1.0×	93 1.0×	5 0.1×	24	444
Juan Zhou China	16	98 0.4×	144 0.7×	48 0.5×	112 1.2×	7 0.1×	39	684
John Maddison United Kingdom	8	215 0.9×	295 1.4×	33 0.3×	52 0.6×	6 0.1×	18	542
Qiyu Zhao China	10	136 0.5×	200 0.9×	11 0.1×	44 0.5×	13 0.2×	18	329
Amy Lu United States	10	491 2.0×	393 1.8×	87 0.9×	436 4.8×	10 0.1×	21	724
Ga Ram Kim South Korea	14	111 0.4×	318 1.5×	125 1.3×	176 1.9×	5 0.1×	41	670
Xiaotang Yang China	16	180 0.7×	709 3.3×	18 0.2×	185 2.0×	13 0.2×	33	913

Countries citing papers authored by Anhua Li

Since Specialization

Citations

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

Fields of papers citing papers by Anhua Li

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anhua Li

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

All Works

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16 of 16 papers shown

Huang, Yao‐Sian, Cheng‐Kuang Lee, Lixian Liu, et al.. (2021). 3-D Res-CapsNet convolutional neural network on automated breast ultrasound tumor diagnosis. European Journal of Radiology. 138. 109608–109608. 19 indexed citations

Luo, Xiao, Min Xu, Yi Wang, et al.. (2021). The lesion detection efficacy of deep learning on automatic breast ultrasound and factors affecting its efficacy: a pilot study. British Journal of Radiology. 95(1130). 20210438–20210438. 6 indexed citations

Jia, Mengmeng, Xi Lin, Xiang Zhou, et al.. (2020). Diagnostic performance of automated breast ultrasound and handheld ultrasound in women with dense breasts. Breast Cancer Research and Treatment. 181(3). 589–597. 31 indexed citations

Lin, Xi, Mengmeng Jia, Xiang Zhou, et al.. (2020). The diagnostic performance of automated versus handheld breast ultrasound and mammography in symptomatic outpatient women: a multicenter, cross-sectional study in China. European Radiology. 31(2). 947–957. 18 indexed citations

Liu, Min, Shaohan Yin, Qing Li, et al.. (2020). Evaluation of the Extent of Mesorectal Invasion and Mesorectal Fascia Involvement in Patients with T3 Rectal Cancer With 2-D and 3-D Transrectal Ultrasound: A Pilot Comparison Study With Magnetic Resonance Imaging Findings. Ultrasound in Medicine & Biology. 46(11). 3008–3016. 2 indexed citations

Wang, Yi, Chenchen Qin, Di Lin, et al.. (2020). 3D Inception U‐net with Asymmetric Loss for Cancer Detection in Automated Breast Ultrasound. Medical Physics. 47(11). 5582–5591. 22 indexed citations

Wang, Yi, Na Wang, Min Xu, et al.. (2019). Deeply-Supervised Networks With Threshold Loss for Cancer Detection in Automated Breast Ultrasound. IEEE Transactions on Medical Imaging. 39(4). 866–876. 127 indexed citations

Liu, Min, Zhen-Hai Lu, Wei Zheng, et al.. (2019). Diagnostic value, safety, and histopathologic discrepancy risk factors for endoscopic forceps biopsy and transrectal ultrasound-guided core needle biopsy in rectum lesions. Annals of Translational Medicine. 7(21). 607–607. 3 indexed citations

Zheng, Wei, Qing Li, Jianwei Wang, et al.. (2019). Evaluation of Contrast-enhanced US LI-RADS version 2017: Application on 2020 Liver Nodules in Patients with Hepatitis B Infection. Radiology. 294(2). 299–307. 80 indexed citations

10.

Wang, Jianwei, et al.. (2016). Assessment of Diagnostic Accuracy and Efficiency of Categories 4 and 5 of the Second Edition of the BI-RADS Ultrasound Lexicon in Diagnosing Breast Lesions. Ultrasound in Medicine & Biology. 42(9). 2065–2071. 13 indexed citations

11.

Tan, Chao, Shun Liu, Shengkui Tan, et al.. (2015). Polymorphisms in MicroRNA Target Sites of Forkhead Box O Genes Are Associated with Hepatocellular Carcinoma. PLoS ONE. 10(3). e0119210–e0119210. 27 indexed citations

12.

Zhou, Jianhua, Jianwei Wang, Wei Zheng, Yao Chen, & Anhua Li. (2013). Assessment of Early Tumor Response to Cytotoxic Chemotherapy With Dynamic Contrast-Enhanced Ultrasound in Human Breast Cancer Xenografts. Ultrasound in Medicine & Biology. 39(5). S81–S82. 3 indexed citations

13.

Sun, Wei, Meiying Xu, Chunyu Xia, Anhua Li, & Guoping Sun. (2012). Enhanced production of laccase by Coriolus hirsutus using molasses distillery wastewater. Frontiers of Environmental Science & Engineering. 7(2). 200–210. 15 indexed citations

14.

Liu, Longzhong, Wei Zheng, Anhua Li, Yuhong Li, & Jianwei Wang. (2011). Comparison of the imaging effects of SonoVue and Sonazoid at high frequency in rabbit-liver ultrasonography. Zhonghua chaosheng yingxiangxue zazhi. 20(4). 344–347. 1 indexed citations

15.

Lin, Xi, Jianwei Wang, Feng Han, Jianhua Fu, & Anhua Li. (2011). Analysis of eighty-one cases with breast lesions using automated breast volume scanner and comparison with handheld ultrasound. European Journal of Radiology. 81(5). 873–878. 104 indexed citations

16.

Li, Anhua, Meiying Xu, Wei Sun, & Guoping Sun. (2010). Rhamnolipid Production by Pseudomonas Aeruginosa GIM 32 Using Different Substrates Including Molasses Distillery Wastewater. Applied Biochemistry and Biotechnology. 163(5). 600–611. 37 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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