Jinwei Qiang

2.8k total citations
140 papers, 1.9k citations indexed

About

Jinwei Qiang is a scholar working on Radiology, Nuclear Medicine and Imaging, Reproductive Medicine and Obstetrics and Gynecology. According to data from OpenAlex, Jinwei Qiang has authored 140 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 76 papers in Radiology, Nuclear Medicine and Imaging, 67 papers in Reproductive Medicine and 61 papers in Obstetrics and Gynecology. Recurrent topics in Jinwei Qiang's work include Ovarian cancer diagnosis and treatment (63 papers), Endometrial and Cervical Cancer Treatments (59 papers) and MRI in cancer diagnosis (48 papers). Jinwei Qiang is often cited by papers focused on Ovarian cancer diagnosis and treatment (63 papers), Endometrial and Cervical Cancer Treatments (59 papers) and MRI in cancer diagnosis (48 papers). Jinwei Qiang collaborates with scholars based in China, United States and Pakistan. Jinwei Qiang's co-authors include Guofu Zhang, Ying Li, Hua Feng, Shu Hui Zhao, Fenghua Ma, Yu Zhang, Haiming Li, Yongai Li, Meiling Xiao and Jie Zhang and has published in prestigious journals such as PLoS ONE, Scientific Reports and Neuroscience.

In The Last Decade

Jinwei Qiang

129 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jinwei Qiang China 25 1.2k 757 698 363 310 140 1.9k
Yasushi Kaji Japan 27 869 0.7× 863 1.1× 840 1.2× 779 2.1× 534 1.7× 81 2.4k
Benedikt M. Schaarschmidt Germany 24 1.2k 1.0× 177 0.2× 133 0.2× 531 1.5× 281 0.9× 113 1.8k
Kyoung‐Sik Cho South Korea 27 914 0.8× 223 0.3× 300 0.4× 1.2k 3.3× 541 1.7× 54 2.2k
J Balogh Canada 20 630 0.5× 242 0.3× 122 0.2× 671 1.8× 363 1.2× 41 1.5k
Arnaldo Scardapane Italy 21 192 0.2× 237 0.3× 248 0.4× 458 1.3× 453 1.5× 98 1.3k
Isamu Narabayashi Japan 23 1.1k 0.9× 151 0.2× 151 0.2× 519 1.4× 585 1.9× 132 2.2k
Pier Paolo Mainenti Italy 25 654 0.5× 279 0.4× 60 0.1× 415 1.1× 635 2.0× 100 1.9k
Zhouyang Lian China 14 780 0.6× 123 0.2× 101 0.1× 242 0.7× 123 0.4× 37 1.1k
Gregor Goldner Austria 24 681 0.6× 286 0.4× 67 0.1× 1.1k 3.1× 361 1.2× 65 1.8k
Leonardo Kayat Bittencourt United States 18 756 0.6× 153 0.2× 173 0.2× 913 2.5× 164 0.5× 65 1.5k

Countries citing papers authored by Jinwei Qiang

Since Specialization
Citations

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

Fields of papers citing papers by Jinwei Qiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jinwei Qiang

This figure shows the co-authorship network connecting the top 25 collaborators of Jinwei Qiang. A scholar is included among the top collaborators of Jinwei Qiang 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 Jinwei Qiang. Jinwei Qiang 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
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Li, Ying, et al.. (2023). Ferrous sulfate reverses cerebral metabolic abnormality induced by minimal hepatic encephalopathy. Metabolic Brain Disease. 38(5). 1613–1620. 1 indexed citations
4.
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
5.
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
6.
Liu, Xuefei, et al.. (2023). Network Analysis and Nomogram in the Novel Classification and Prognosis Prediction of Advanced Schistosomiasis Japonica. American Journal of Tropical Medicine and Hygiene. 108(3). 569–577. 3 indexed citations
7.
Li, Ying, et al.. (2022). Radiomics nomogram in aiding preoperatively dilatation and curettage in differentiating type II and type I endometrial cancer. Clinical Radiology. 78(2). e29–e36. 8 indexed citations
8.
Liu, Xuefei, et al.. (2022). Radiomics Nomogram in Assisting Lymphadenectomy Decisions by Predicting Lymph Node Metastasis in Early-Stage Endometrial Cancer. Frontiers in Oncology. 12. 894918–894918. 20 indexed citations
9.
Zhang, Yu, et al.. (2021). CT diagnosis and prognosis prediction of tracheal adenoid cystic carcinoma. European Journal of Radiology. 140. 109746–109746. 5 indexed citations
10.
Deng, Linhong, et al.. (2020). Blood Supply of Early Lung Adenocarcinomas in Mice and the Tumor-supplying Vessel Relationship: A Micro-CT Angiography Study. Cancer Prevention Research. 13(12). 989–996. 11 indexed citations
11.
Jian, Junming, Yongai Li, Perry J. Pickhardt, et al.. (2020). MR image-based radiomics to differentiate type Ι and type ΙΙ epithelial ovarian cancers. European Radiology. 31(1). 403–410. 61 indexed citations
12.
Xiao, Zebin, Zuohua Tang, Jinwei Qiang, et al.. (2018). Intravoxel Incoherent Motion MR Imaging in the Differentiation of Benign and Malignant Sinonasal Lesions: Comparison with Conventional Diffusion-Weighted MR Imaging. American Journal of Neuroradiology. 39(3). 538–546. 18 indexed citations
13.
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
14.
Li, Ruokun, Fuhua Yan, Jinwei Qiang, et al.. (2017). Liver fibrosis detection and staging: a comparative study of T1ρ MR imaging and 2D real-time shear-wave elastography. Abdominal Radiology. 43(7). 1713–1722. 20 indexed citations
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Li, Ruokun, Mengsu Zeng, Jinwei Qiang, et al.. (2015). Value of MR susceptibility weighted imaging for characterization of small hepatocellular carcinoma in cirrhotic livers. Zhonghua fangshexian yixue zazhi. 49(7). 520–524. 1 indexed citations
17.
Ma, Fenghua, et al.. (2015). MR spectroscopy for differentiating benign from malignant solid adnexal tumors. Zhonghua fangshexian yixue zazhi. 49(5). 364–368. 1 indexed citations
18.
Zhang, Yu, et al.. (2014). High resolution CT in differentiating minimally invasive component in early lung adenocarcinoma. Lung Cancer. 84(3). 236–241. 60 indexed citations
19.
Zhao, Jing, et al.. (2013). Primary hepatic neuroendocrine carcinoma: MR imaging findings including preliminary observation on diffusion-weighted imaging. Abdominal Imaging. 38(6). 1269–1276. 18 indexed citations
20.
Qin, Feng, et al.. (2013). Utility of Diffusion-Weighted Imaging in Differentiating Malignant From Benign Thyroid Nodules With Magnetic Resonance Imaging and Pathologic Correlation. Journal of Computer Assisted Tomography. 37(4). 505–510. 28 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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