Ziyang Tang

932 total citations
35 papers, 473 citations indexed

About

Ziyang Tang is a scholar working on Artificial Intelligence, Molecular Biology and Mechanical Engineering. According to data from OpenAlex, Ziyang Tang has authored 35 papers receiving a total of 473 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 6 papers in Molecular Biology and 5 papers in Mechanical Engineering. Recurrent topics in Ziyang Tang's work include Single-cell and spatial transcriptomics (5 papers), Immune cells in cancer (4 papers) and Aluminum Alloys Composites Properties (3 papers). Ziyang Tang is often cited by papers focused on Single-cell and spatial transcriptomics (5 papers), Immune cells in cancer (4 papers) and Aluminum Alloys Composites Properties (3 papers). Ziyang Tang collaborates with scholars based in United States, China and United Kingdom. Ziyang Tang's co-authors include Baijian Yang, Jing Su, Qianqian Song, Tonglin Zhang, Xiaorong Zhou, X. Zhang, Cheng Luo, Xiaotao Zhang, Teruo Hashimoto and Octav Ciuca and has published in prestigious journals such as Nature Communications, Journal of Applied Psychology and Corrosion Science.

In The Last Decade

Ziyang Tang

30 papers receiving 466 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ziyang Tang United States	12	165	142	114	108	63	35	473
Xianglong Kong China	14	58 0.4×	28 0.2×	85 0.7×	126 1.2×	49 0.8×	71	680
Menglei Zhang China	15	75 0.5×	100 0.7×	158 1.4×	34 0.3×	20 0.3×	72	1.2k
Haipeng Wang China	14	98 0.6×	119 0.8×	92 0.8×	25 0.2×	42 0.7×	92	707
Wenjin Wang China	13	37 0.2×	87 0.6×	29 0.3×	13 0.1×	40 0.6×	43	422
Jiawei Jiang China	11	50 0.3×	117 0.8×	55 0.5×	16 0.1×	67 1.1×	56	588
Jing Bai China	15	15 0.1×	96 0.7×	108 0.9×	64 0.6×	27 0.4×	76	787
Luping Zhang China	11	168 1.0×	32 0.2×	120 1.1×	30 0.3×	31 0.5×	45	473
Mao Zheng China	13	40 0.2×	46 0.3×	34 0.3×	37 0.3×	73 1.2×	47	538
Guangxing Wang China	12	87 0.5×	103 0.7×	16 0.1×	31 0.3×	95 1.5×	43	722
Xin Huo China	12	84 0.5×	154 1.1×	21 0.2×	31 0.3×	54 0.9×	111	509

Countries citing papers authored by Ziyang Tang

Since Specialization

Citations

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

Fields of papers citing papers by Ziyang Tang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ziyang Tang

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

All Works

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20 of 20 papers shown

Wen, Xueqi, et al.. (2025). A power dependence model of the impact of leader impostorism on supervisor support and undermining: The moderating role of power distance.. Journal of Applied Psychology. 110(7). 963–978.

Xiang, Yanhong, Huiyu Zhang, Tong Wu, et al.. (2024). Effect of carbon coating on the structure and electrochemical properties of β-LiVOPO4 cathode material for lithium-ion batteries. Ceramics International. 51(2). 2607–2614. 3 indexed citations

Tang, Ziyang, Pengyue Zhang, Michael T. Eadon, et al.. (2024). TrajVis: a visual clinical decision support system to translate artificial intelligence trajectory models in the precision management of chronic kidney disease. Journal of the American Medical Informatics Association. 31(11). 2474–2485. 5 indexed citations

Tang, Ziyang, et al.. (2024). xSiGra: explainable model for single-cell spatial data elucidation. Briefings in Bioinformatics. 25(5). 6 indexed citations

Cui, Hui−Hui, et al.. (2024). Syntheses, crystal structures and magnetic properties of four-coordinate Ni(II) and Cu(II) complexes. Journal of Molecular Structure. 1310. 138293–138293. 1 indexed citations

Tang, Ziyang, et al.. (2024). Fe2O3 facilitating deeper transformation of Ni-MOF into active NiOOH for enhanced OER performance. Solid State Sciences. 152. 107535–107535. 3 indexed citations

Pan, Jingzhou, et al.. (2024). The Power of Calling: How Founder CEOs Drive Ambidexterity and Innovation in Firms. Journal of Management Studies. 62(7). 2898–2937. 2 indexed citations

Ge, Yongxin, Ziyang Tang, Kanran Wang, et al.. (2024). Deep Learning-Enabled Integration of Histology and Transcriptomics for Tissue Spatial Profile Analysis. Research. 8. 568–568. 2 indexed citations

Tang, Ziyang, Tieying Hou, Tonglin Zhang, et al.. (2023). SiGra: single-cell spatial elucidation through an image-augmented graph transformer. Nature Communications. 14(1). 5618–5618. 45 indexed citations

10.

Tang, Ziyang, et al.. (2023). Summary of the methods of composition analysis and identification of ancient glass objects. Highlights in Science Engineering and Technology. 44. 256–264.

11.

Tang, Ziyang, et al.. (2023). Feature Selection for Unsupervised Machine Learning. PubMed. 2023. 164–169.

12.

Tang, Ziyang, et al.. (2023). A new method for the composition analysis and classification of ancient glass products before and after weathering. Highlights in Science Engineering and Technology. 40. 179–189.

13.

Tang, Ziyang, Xiang Liu, Tonglin Zhang, et al.. (2023). SpaRx: elucidate single-cell spatial heterogeneity of drug responses for personalized treatment. Briefings in Bioinformatics. 24(6). 23 indexed citations

14.

Tang, Ziyang, Tonglin Zhang, Baijian Yang, Jing Su, & Qianqian Song. (2022). spaCI: deciphering spatial cellular communications through adaptive graph model. Briefings in Bioinformatics. 24(1). 49 indexed citations

15.

Tang, Ziyang, et al.. (2020). Deep Learning Based Wildfire Event Object Detection from 4K Aerial Images Acquired by UAS. AI. 1(2). 166–179. 27 indexed citations

16.

Tang, Ziyang, Yihao Feng, Lihong Li, Dengyong Zhou, & Qiang Liu. (2020). Doubly Robust Bias Reduction in Infinite Horizon Off-Policy Estimation. arXiv (Cornell University). 1 indexed citations

17.

Tang, Ziyang, Xiang Liu, & Baijian Yang. (2020). PENet: Object Detection Using Points Estimation in High Definition Aerial Images. 392–398. 21 indexed citations

18.

Liu, Xiang, et al.. (2019). Sparse Block Regression (SBR) for Big Data with Categorical Variables. 9. 221–226. 1 indexed citations

19.

Han, Xu, Yongbao Wei, Gang Tian, et al.. (2015). Screening of crucial long non-coding RNAs in oral epithelial dysplasia by serial analysis of gene expression. Genetics and Molecular Research. 14(4). 11729–11738. 5 indexed citations

20.

Chen, Hao, et al.. (2015). Complexity of domination, hamiltonicity and treewidth for tree convex bipartite graphs. Journal of Combinatorial Optimization. 32(1). 95–110. 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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