Ziwang Huang

1.3k total citations · 1 hit paper
4 papers, 558 citations indexed

About

Ziwang Huang is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Molecular Biology. According to data from OpenAlex, Ziwang Huang has authored 4 papers receiving a total of 558 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 3 papers in Radiology, Nuclear Medicine and Imaging and 1 paper in Molecular Biology. Recurrent topics in Ziwang Huang's work include Radiomics and Machine Learning in Medical Imaging (3 papers), COVID-19 diagnosis using AI (3 papers) and AI in cancer detection (2 papers). Ziwang Huang is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (3 papers), COVID-19 diagnosis using AI (3 papers) and AI in cancer detection (2 papers). Ziwang Huang collaborates with scholars based in China. Ziwang Huang's co-authors include Huiying Zhao, Ying Song, Yunfei Zha, Yutian Chong, Yuedong Yang, Liang Li, Xiang Zhang, Jun Shen, Jianwen Chen and Xiaodong Zhang and has published in prestigious journals such as IEEE/ACM Transactions on Computational Biology and Bioinformatics, IET Image Processing and Interdisciplinary Sciences Computational Life Sciences.

In The Last Decade

Ziwang Huang

4 papers receiving 544 citations

Hit Papers

Deep Learning Enables Accurate Diagnosis of Novel Coronav... 2021 2026 2022 2024 2021 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ziwang Huang China 4 511 320 109 78 61 4 558
Jinlu Ma China 2 651 1.3× 418 1.3× 139 1.3× 87 1.1× 70 1.1× 5 707
Huan Yuan China 4 486 1.0× 318 1.0× 130 1.2× 79 1.0× 66 1.1× 6 612
Abolfazl Zargari Khuzani United States 6 400 0.8× 296 0.9× 55 0.5× 95 1.2× 67 1.1× 13 503
Zhanwei Xu China 5 360 0.7× 187 0.6× 118 1.1× 38 0.5× 39 0.6× 7 438
Lucas Teixeira Brazil 5 392 0.8× 280 0.9× 75 0.7× 65 0.8× 77 1.3× 15 457
Wade Menpes-Smith United Kingdom 5 321 0.6× 200 0.6× 72 0.7× 71 0.9× 37 0.6× 5 389
Zimeng Tan China 3 292 0.6× 148 0.5× 102 0.9× 32 0.4× 32 0.5× 6 357
Vaibhav Arora India 7 295 0.6× 201 0.6× 44 0.4× 101 1.3× 41 0.7× 10 404
Minhao Wang China 7 286 0.6× 197 0.6× 71 0.7× 55 0.7× 36 0.6× 18 399
Weixiang Chen China 4 297 0.6× 153 0.5× 102 0.9× 27 0.3× 29 0.5× 9 381

Countries citing papers authored by Ziwang Huang

Since Specialization
Citations

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

Fields of papers citing papers by Ziwang Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ziwang Huang

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

All Works

4 of 4 papers shown
1.
Li, Liang, Xiang Zhang, Ying Song, et al.. (2021). Accurately Discriminating COVID-19 from Viral and Bacterial Pneumonia According to CT Images Via Deep Learning. Interdisciplinary Sciences Computational Life Sciences. 13(2). 273–285. 21 indexed citations
2.
Song, Ying, Shuangjia Zheng, Liang Li, et al.. (2021). Deep Learning Enables Accurate Diagnosis of Novel Coronavirus (COVID-19) With CT Images. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 18(6). 2775–2780. 524 indexed citations breakdown →
3.
Huang, Ziwang, Liang Li, Xiang Zhang, et al.. (2021). A coarse‐refine segmentation network for COVID‐19 CT images. IET Image Processing. 16(2). 333–343. 6 indexed citations
4.
Wang, Ruoqi, Ziwang Huang, Haitao Wang, & Hejun Wu. (2021). AMMASurv: Asymmetrical Multi-Modal Attention for Accurate Survival Analysis with Whole Slide Images and Gene Expression Data. 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). 757–760. 7 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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