Hexiang Wang

653 total citations
39 papers, 404 citations indexed

About

Hexiang Wang is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Surgery. According to data from OpenAlex, Hexiang Wang has authored 39 papers receiving a total of 404 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Radiology, Nuclear Medicine and Imaging, 11 papers in Pulmonary and Respiratory Medicine and 9 papers in Surgery. Recurrent topics in Hexiang Wang's work include Radiomics and Machine Learning in Medical Imaging (12 papers), Sarcoma Diagnosis and Treatment (6 papers) and Bone Tumor Diagnosis and Treatments (6 papers). Hexiang Wang is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (12 papers), Sarcoma Diagnosis and Treatment (6 papers) and Bone Tumor Diagnosis and Treatments (6 papers). Hexiang Wang collaborates with scholars based in China, Japan and United States. Hexiang Wang's co-authors include Feng Hou, Dapeng Hao, Liang Chang, Qing An, Zhiwei Zuo, Yubo Li, Shun Wang, Chencui Huang, Jihua Liu and Tengbo Yu and has published in prestigious journals such as Journal of Agricultural and Food Chemistry, The Journal of Organic Chemistry and Organic Letters.

In The Last Decade

Hexiang Wang

33 papers receiving 398 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hexiang Wang China 10 177 127 108 72 68 39 404
Zhijun Wu China 9 38 0.2× 92 0.7× 43 0.4× 68 0.9× 74 1.1× 36 340
Takashi Ochi Japan 13 125 0.7× 140 1.1× 29 0.3× 11 0.2× 65 1.0× 35 434
Sasha C. Druskin United States 12 72 0.4× 387 3.0× 16 0.1× 78 1.1× 60 0.9× 17 523
Wojciech Połom Poland 11 65 0.4× 177 1.4× 15 0.1× 52 0.7× 128 1.9× 31 427
Karen Deutsch United States 9 280 1.6× 112 0.9× 26 0.2× 63 0.9× 108 1.6× 11 444
Jingjing Xie China 13 220 1.2× 184 1.4× 17 0.2× 4 0.1× 59 0.9× 25 509
Hongwei Zhan China 8 70 0.4× 58 0.5× 6 0.1× 22 0.3× 41 0.6× 21 196
Shuhao Deng China 12 93 0.5× 85 0.7× 9 0.1× 15 0.2× 92 1.4× 39 352
Tim J. van Oostenbrugge Netherlands 9 112 0.6× 155 1.2× 12 0.1× 4 0.1× 59 0.9× 14 293

Countries citing papers authored by Hexiang Wang

Since Specialization
Citations

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

Fields of papers citing papers by Hexiang Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hexiang Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Hexiang Wang. A scholar is included among the top collaborators of Hexiang Wang 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 Hexiang Wang. Hexiang Wang 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.
Zhao, Dezhi, Hexiang Wang, Qingxin Zhao, Jinghui Zhang, & Lili Yuan. (2024). Strengthening the fiber-cement matrix interface by introducing functional groups on fiber surface. Journal of Building Engineering. 91. 109567–109567.
2.
Li, Rui, et al.. (2024). Accelerating cardiac diffusion tensor imaging using Swin transformer with octave convolution. International Journal of Imaging Systems and Technology. 34(3).
3.
4.
Wang, Bo, et al.. (2024). Prediction of soft tissue sarcoma grading using intratumoral habitats and a peritumoral radiomics nomogram: a multi-center preliminary study. Frontiers in Oncology. 14. 1433196–1433196. 4 indexed citations
5.
Yu, Boyang, Na Li, Rui Sun, et al.. (2023). CT-based deep learning radiomics nomogram for the prediction of pathological grade in bladder cancer: a multicenter study. Cancer Imaging. 23(1). 89–89. 13 indexed citations
6.
Chang, Liang, Shun Wang, Qing An, et al.. (2023). Resurgence and advancement of photochemical hydrogen atom transfer processes in selective alkane functionalizations. Chemical Science. 14(25). 6841–6859. 101 indexed citations
7.
Wang, Hexiang, et al.. (2023). Finite Element Analysis of Curved Beam Elements Employing Trigonometric Displacement Distribution Patterns. Buildings. 13(9). 2239–2239. 1 indexed citations
8.
Wang, Siwen, Bo Liu, Bingxi He, et al.. (2023). A multi-view co-training network for semi-supervised medical image-based prognostic prediction. Neural Networks. 164. 455–463. 10 indexed citations
9.
Wang, Tongyu, Peng Zhang, Hexiang Wang, et al.. (2022). An MRI‐Based Radiomics Nomogram to Assess Recurrence Risk in Sinonasal Malignant Tumors. Journal of Magnetic Resonance Imaging. 58(2). 520–531. 9 indexed citations
10.
Guo, Li, et al.. (2022). Research on imbalance machine learning methods for MR$$T_1$$WI soft tissue sarcoma data. BMC Medical Imaging. 22(1). 149–149. 9 indexed citations
11.
Wang, Tongyu, Xia Zhao, Hexiang Wang, et al.. (2022). Proton density fat fraction measurements of rotator cuff muscles: Accuracy, repeatability, and reproducibility across readers and scanners. Magnetic Resonance Imaging. 92. 260–267. 3 indexed citations
12.
Hao, Dapeng, Jie Li, Jihua Liu, et al.. (2021). Magnetic Resonance Imaging‐Based Radiomics Nomogram for Prediction of the Histopathological Grade of Soft Tissue Sarcomas: A Two‐Center Study. Journal of Magnetic Resonance Imaging. 53(6). 1683–1696. 42 indexed citations
13.
Liu, Shunli, Chencui Huang, Jingxu Xu, et al.. (2021). Deep learning radiomic nomogram to predict recurrence in soft tissue sarcoma: a multi-institutional study. European Radiology. 32(2). 793–805. 39 indexed citations
14.
15.
Hua, Hui, Yuanxiang Gao, Feng Hou, et al.. (2020). Quantitative Analysis of Enhanced Computed Tomography in Differentiating Cystitis Glandularis and Bladder Cancer. BioMed Research International. 2020(1). 4930621–4930621. 2 indexed citations
16.
Wang, Hexiang, Dapeng Hao, Yaqiong Ge, et al.. (2020). AnMRI‐Based Radiomic Nomogram for Discrimination Between Malignant and Benign Sinonasal Tumors. Journal of Magnetic Resonance Imaging. 53(1). 141–151. 22 indexed citations
17.
Wang, Hexiang, Jian Zhang, Shan Bao, et al.. (2020). Preoperative MRI‐Based Radiomic Machine‐Learning Nomogram May Accurately Distinguish Between Benign and Malignant Soft‐Tissue Lesions: A Two‐Center Study. Journal of Magnetic Resonance Imaging. 52(3). 873–882. 55 indexed citations
18.
19.
Wang, Hexiang, Pei Nie, Cheng Dong, et al.. (2018). Computed Tomography Imaging Findings of Pulmonary Chondroma. BioMed Research International. 2018. 1–7. 4 indexed citations
20.
Wang, Hexiang, et al.. (2018). MRI Findings of Early Myositis Ossificans without Calcification or Ossification. BioMed Research International. 2018. 1–6. 10 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Zhijun Wu Breakdown of academic impact, for papers by Takashi Ochi Breakdown of academic impact, for papers by Sasha C. Druskin Breakdown of academic impact, for papers by Wojciech Połom Breakdown of academic impact, for papers by Karen Deutsch Breakdown of academic impact, for papers by Jingjing Xie Breakdown of academic impact, for papers by Hongwei Zhan Breakdown of academic impact, for papers by Shuhao Deng Breakdown of academic impact, for papers by Tim J. van Oostenbrugge
Rankless by CCL
2026