Haiming Li

1.2k total citations
67 papers, 829 citations indexed

About

Haiming Li is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Reproductive Medicine. According to data from OpenAlex, Haiming Li has authored 67 papers receiving a total of 829 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Radiology, Nuclear Medicine and Imaging, 18 papers in Pulmonary and Respiratory Medicine and 14 papers in Reproductive Medicine. Recurrent topics in Haiming Li's work include Ovarian cancer diagnosis and treatment (14 papers), Radiomics and Machine Learning in Medical Imaging (12 papers) and Endometrial and Cervical Cancer Treatments (12 papers). Haiming Li is often cited by papers focused on Ovarian cancer diagnosis and treatment (14 papers), Radiomics and Machine Learning in Medical Imaging (12 papers) and Endometrial and Cervical Cancer Treatments (12 papers). Haiming Li collaborates with scholars based in China, United States and Canada. Haiming Li's co-authors include Chuan‐Ming Hao, Jinwei Qiang, Rolf Morosoli, Mengjing Wang, Yong Gu, Yuan Li, Minmin Zhang, Jing Chen, Yajia Gu and Shuhui Zhao and has published in prestigious journals such as PLoS ONE, Applied and Environmental Microbiology and Journal of the American Society of Nephrology.

In The Last Decade

Haiming Li

60 papers receiving 818 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Haiming Li China 20 294 240 138 128 117 67 829
Hirotsugu Iwatani Japan 18 491 1.7× 43 0.2× 13 0.1× 158 1.2× 169 1.4× 48 1.2k
Rose C. Christian United States 11 68 0.2× 26 0.1× 259 1.9× 111 0.9× 38 0.3× 17 723
Inga‐Lena Nilsson Sweden 23 942 3.2× 46 0.2× 28 0.2× 349 2.7× 212 1.8× 76 1.6k
Bei Zhang China 13 29 0.1× 238 1.0× 15 0.1× 192 1.5× 138 1.2× 33 1.1k
Cevdet Duran Türkiye 15 48 0.2× 16 0.1× 274 2.0× 149 1.2× 38 0.3× 56 799
Caixia Wang China 16 78 0.3× 13 0.1× 55 0.4× 116 0.9× 102 0.9× 47 546
Şemsi Altaner Türkiye 17 13 0.0× 158 0.7× 57 0.4× 237 1.9× 148 1.3× 58 810
J. N. Stiel Australia 13 63 0.2× 31 0.1× 30 0.2× 130 1.0× 177 1.5× 32 686
Shengqiang Yu China 17 76 0.3× 20 0.1× 34 0.2× 163 1.3× 394 3.4× 49 947

Countries citing papers authored by Haiming Li

Since Specialization
Citations

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

Fields of papers citing papers by Haiming Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haiming Li

This figure shows the co-authorship network connecting the top 25 collaborators of Haiming Li. A scholar is included among the top collaborators of Haiming 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 Haiming Li. Haiming Li 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.
Li, Haiming, et al.. (2025). Machine learning-based model for the prediction of acute kidney injury following coronary artery bypass graft surgery in elderly Chinese patients. Journal of Thoracic Disease. 17(4). 2519–2527. 1 indexed citations
2.
Chen, Ying, Shanming Liu, Bo Zhang, et al.. (2024). Baseline symptom-related white matter tracts predict individualized treatment response to 12-week antipsychotic monotherapies in first-episode schizophrenia. Translational Psychiatry. 14(1). 23–23. 9 indexed citations
3.
Liu, Dan, et al.. (2024). Sphingosine kinase 1 counteracts chemosensitivity and immune evasion in diffuse large B cell lymphoma cells via the PI3K/AKT/PD-L1 axis. International Immunopharmacology. 143(Pt 2). 113361–113361. 2 indexed citations
4.
5.
Li, Haiming, et al.. (2024). Prognostic value of genome-wide methylation in acute-on-chronic hepatitis B liver failure. Pathology - Research and Practice. 256. 155232–155232. 1 indexed citations
6.
Cao, Jianhua, Haiming Li, Gao‐xiang Li, et al.. (2024). Utility of enteral nutrition via percutaneous transhepatic cholangiography drainage catheterization in late-stage malignant obstructive jaundice. Scandinavian Journal of Gastroenterology. 59(5). 570–576.
7.
Guo, Qinhao, Linhao Qu, Jun Zhu, et al.. (2023). Predicting Lymph Node Metastasis From Primary Cervical Squamous Cell Carcinoma Based on Deep Learning in Histopathologic Images. Modern Pathology. 36(12). 100316–100316. 9 indexed citations
8.
Wang, Ting, Qiong Li, Qiu Bi, et al.. (2023). Development and validation of MRI-based radiomics model to predict recurrence risk in patients with endometrial cancer: a multicenter study. European Radiology. 33(8). 5814–5824. 26 indexed citations
9.
Li, Haiming, Linhong Deng, Qinhao Guo, et al.. (2023). Prediction of platinum resistance for advanced high-grade serous ovarian carcinoma using MRI-based radiomics nomogram. European Radiology. 33(8). 5298–5308. 10 indexed citations
10.
Li, Haiming, Xin Wei Wang, Zezhou Wang, et al.. (2023). Components of the tumor immune microenvironment based on m‐IHC correlate with prognosis and subtype of triple‐negative breast cancer. Cancer Medicine. 12(24). 21639–21650. 3 indexed citations
11.
Bi, Qiu, Kun Miao, Na Xu, et al.. (2023). Habitat Radiomics Based on MRI for Predicting Platinum Resistance in Patients with High-Grade Serous Ovarian Carcinoma: A Multicenter Study. Academic Radiology. 31(6). 2367–2380. 20 indexed citations
12.
13.
Jiang, Faming, Yang Li, Xingyu Xiong, et al.. (2022). CT-guided transthoracic pulmonary artery catheterization: an experimental study in a porcine model. European Radiology. 32(5). 3280–3287. 1 indexed citations
14.
Song, Zhenyu, Wei Feng, Haiming Li, et al.. (2022). Magnetic Resonance Imaging and Diffusion Weighted Imaging-Based Histogram in Predicting Mesenchymal Transition High-Grade Serous Ovarian Cancer. Academic Radiology. 30(6). 1118–1128. 6 indexed citations
15.
16.
Li, Haiming, Feng Feng, Jinwei Qiang, et al.. (2018). Quantitative dynamic contrast-enhanced MR imaging for differentiating benign, borderline, and malignant ovarian tumors. Abdominal Radiology. 43(11). 3132–3141. 24 indexed citations
17.
Li, Haiming, et al.. (2017). Collagen External Scaffolds Mitigate Intimal Hyperplasia and Improve Remodeling of Vein Grafts in a Rabbit Arteriovenous Graft Model. BioMed Research International. 2017. 1–9. 5 indexed citations
18.
Wang, Mengjing, Haiming Li, You Li, et al.. (2014). Association of Serum Phosphorus Variability with Coronary Artery Calcification among Hemodialysis Patients. PLoS ONE. 9(4). e93360–e93360. 13 indexed citations
19.
Yan, Ping, Xiangzhu Zhu, Haiming Li, et al.. (2012). Association of High Blood Pressure with Renal Insufficiency: Role of Albuminuria, from NHANES, 1999–2006. PLoS ONE. 7(7). e37837–e37837. 19 indexed citations
20.
Zhao, Bing, et al.. (2011). Relationship between cell apoptosis and mechanical ventilation-induced lung injury on rats. Central Plains Medical Journal. 38(3). 50–52. 1 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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