Hui Jiang

2.2k total citations · 1 hit paper
77 papers, 1.2k citations indexed

About

Hui Jiang is a scholar working on Oncology, Surgery and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Hui Jiang has authored 77 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Oncology, 17 papers in Surgery and 17 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Hui Jiang's work include Pancreatic and Hepatic Oncology Research (37 papers), Radiomics and Machine Learning in Medical Imaging (15 papers) and Neuroendocrine Tumor Research Advances (14 papers). Hui Jiang is often cited by papers focused on Pancreatic and Hepatic Oncology Research (37 papers), Radiomics and Machine Learning in Medical Imaging (15 papers) and Neuroendocrine Tumor Research Advances (14 papers). Hui Jiang collaborates with scholars based in China, United States and United Kingdom. Hui Jiang's co-authors include Yun Bian, Jianming Zheng, Xu Fang, Jianping Lu, Gang Jin, Xiaoyi Huang, Kai Cao, Jianming Zheng, Chao Ma and Xiaosong Zhi and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Radiology.

In The Last Decade

Hui Jiang

70 papers receiving 1.2k citations

Hit Papers

Effect of Cu content on the microstructure and corrosion ... 2023 2026 2024 2025 2023 25 50 75

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hui Jiang China 20 570 342 294 261 195 77 1.2k
Sarun Juengpanich China 17 430 0.8× 298 0.9× 498 1.7× 239 0.9× 274 1.4× 31 1.5k
Xuezhi Zhou China 22 380 0.7× 1.5k 4.3× 185 0.6× 212 0.8× 467 2.4× 68 2.3k
Shuoyu Xu China 18 293 0.5× 189 0.6× 188 0.6× 132 0.5× 182 0.9× 67 1.2k
Qing Lv China 22 257 0.5× 287 0.8× 404 1.4× 230 0.9× 130 0.7× 76 1.5k
Qing Guan China 17 234 0.4× 211 0.6× 272 0.9× 209 0.8× 195 1.0× 46 1.1k
Masayuki Tsuneki Japan 22 386 0.7× 439 1.3× 276 0.9× 113 0.4× 243 1.2× 51 1.5k
Xiaobo Zhou United States 25 363 0.6× 258 0.8× 696 2.4× 294 1.1× 305 1.6× 50 1.6k
Qi Wei United States 17 111 0.2× 445 1.3× 265 0.9× 81 0.3× 129 0.7× 65 1.3k
Pengfei Shao China 22 143 0.3× 135 0.4× 738 2.5× 411 1.6× 576 3.0× 84 1.4k
Jun Xiang China 18 154 0.3× 241 0.7× 244 0.8× 161 0.6× 100 0.5× 50 1.0k

Countries citing papers authored by Hui Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Hui Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hui Jiang

This figure shows the co-authorship network connecting the top 25 collaborators of Hui Jiang. A scholar is included among the top collaborators of Hui Jiang 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 Hui Jiang. Hui Jiang 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, Shuai, Xin Liu, Xiaotong Hou, et al.. (2025). Evolution of corrosion mechanism of 3d transition metal high entropy alloys: A review. Journal of Materials Research and Technology. 35. 4142–4163. 12 indexed citations
2.
Jiang, Hui, Di Wu, Wei Xing, Wenhao Jiang, & Qing Xie. (2025). Discriminator-free adversarial domain adaptation with information balance. Electronic Research Archive. 33(1). 210–230.
3.
An, Wei, Tingting Pang, Chaojing Lu, et al.. (2024). Outcomes of endoscopic submucosal dissection versus esophagectomy for poorly differentiated superficial esophageal squamous cell carcinoma: A 10-year cohort study. Digestive and Liver Disease. 57(1). 74–82. 1 indexed citations
4.
Wang, Jingjing, et al.. (2024). The efficiency evaluation of traditional Chinese medicine hospitals by data envelopment analysis in Zhengzhou, China. Frontiers in Public Health. 12. 1445766–1445766. 3 indexed citations
5.
Jiang, Hui, Xiaoxue Chang, Lijun Zhang, et al.. (2023). Effect of Cu content on the microstructure and corrosion resistance of AlCrFeNi3Cux high entropy alloys. Corrosion Science. 221. 111313–111313. 87 indexed citations breakdown →
6.
Bao, Fang, et al.. (2023). Sevoflurane with Low Concentration Decrease DNA Methylation on Chronic Obstructive Pulmonary Disease (COPD)-Related Gene Promoter in COPD Rat. COPD Journal of Chronic Obstructive Pulmonary Disease. 20(1). 348–356.
7.
Liu, Ao, Hui Jiang, Weiwei Cao, et al.. (2023). MLAGG-Net: Multi-level aggregation and global guidance network for pancreatic lesion segmentation in histopathological images. Biomedical Signal Processing and Control. 86. 105303–105303. 2 indexed citations
8.
Tang, Zhuo, Ying Lv, Bin Wang, et al.. (2023). Lower Body Perfusion Reduces the Morbidity of Postoperative Acute Kidney Injury in Type A Dissection: A Propensity-Matched Analysis. Brazilian Journal of Cardiovascular Surgery. 38(3).
9.
Jiang, Hui, et al.. (2022). SMAD2/3 Phosphorylation Is Downregulated in T Cells in HIV-Infected Patients. AIDS Research and Human Retroviruses. 39(3). 99–103. 1 indexed citations
10.
Fang, Xu, Qianru Zhang, Fang Liu, et al.. (2022). T2-Weighted Image Radiomics Nomogram to Predict Pancreatic Serous and Mucinous Cystic Neoplasms. Academic Radiology. 30(8). 1562–1571. 3 indexed citations
11.
Yu, Jieyu, Hao Zhang, Yan Fang Liu, et al.. (2021). Prediction of Tumor-Infiltrating CD20+ B-Cells in Patients with Pancreatic Ductal Adenocarcinoma Using a Multilayer Perceptron Network Classifier Based on Non-contrast MRI. Academic Radiology. 29(9). e167–e177. 8 indexed citations
12.
13.
Bian, Yun, Yan Fang Liu, Hui Jiang, et al.. (2021). Machine learning for MRI radiomics: a study predicting tumor-infiltrating lymphocytes in patients with pancreatic ductal adenocarcinoma. Abdominal Radiology. 46(10). 4800–4816. 11 indexed citations
14.
Peng, Lisi, Kun‐Ju Lin, Yao Yao, et al.. (2020). Downregulation of GSTM2 enhances gemcitabine chemosensitivity of pancreatic cancer in vitro and in vivo. Pancreatology. 21(1). 115–123. 11 indexed citations
16.
Ta, Na, Xiaoyi Huang, Kailian Zheng, et al.. (2018). miRNA-1290 Promotes Aggressiveness in Pancreatic Ductal Adenocarcinoma by Targeting IKK1. Cellular Physiology and Biochemistry. 51(2). 711–728. 21 indexed citations
17.
Zhang, Jing, Jianming Zheng, Yinghong Yang, et al.. (2015). Molecular spectrum of KRAS, NRAS, BRAF and PIK3CA mutations in Chinese colorectal cancer patients: analysis of 1,110 cases. Scientific Reports. 5(1). 18678–18678. 97 indexed citations
18.
Zhang, Yijie, et al.. (2015). The c-Myc–LDHA axis positively regulates aerobic glycolysis and promotes tumor progression in pancreatic cancer. Medical Oncology. 32(7). 187–187. 101 indexed citations
19.
Zhang, Lei, Hui Jiang, & Zhengqing Hu. (2011). Concentration-Dependent Effect of Nerve Growth Factor on Cell Fate Determination of Neural Progenitors. Stem Cells and Development. 20(10). 1723–1731. 41 indexed citations
20.
Chen, Haitao, Quan-cai Cai, Jianming Zheng, et al.. (2011). High Expression of Delta-Like Ligand 4 Predicts Poor Prognosis After Curative Resection for Pancreatic Cancer. Annals of Surgical Oncology. 19(S3). 464–474. 38 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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