Taohong Zhang

425 total citations
29 papers, 288 citations indexed

About

Taohong Zhang is a scholar working on Artificial Intelligence, Materials Chemistry and Automotive Engineering. According to data from OpenAlex, Taohong Zhang has authored 29 papers receiving a total of 288 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 6 papers in Materials Chemistry and 5 papers in Automotive Engineering. Recurrent topics in Taohong Zhang's work include Machine Learning and ELM (5 papers), biodegradable polymer synthesis and properties (5 papers) and Machine Learning in Materials Science (4 papers). Taohong Zhang is often cited by papers focused on Machine Learning and ELM (5 papers), biodegradable polymer synthesis and properties (5 papers) and Machine Learning in Materials Science (4 papers). Taohong Zhang collaborates with scholars based in China, Germany and Macao. Taohong Zhang's co-authors include Han Zheng, Zhiyong Yang, Dezheng Zhang, Aziguli Wulamu, Ming Zhou, Dezheng Zhang, Mingyang Yang, Qing‐Feng Yang, Yibo Zhang and Jianwen Yu and has published in prestigious journals such as ACS Applied Materials & Interfaces, IEEE Access and Acta Biomaterialia.

In The Last Decade

Taohong Zhang

28 papers receiving 276 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Taohong Zhang China 9 59 56 53 49 36 29 288
Che Wang China 12 98 1.7× 36 0.6× 41 0.8× 31 0.6× 23 0.6× 39 329
Haotian Zhang China 10 67 1.1× 30 0.5× 47 0.9× 126 2.6× 66 1.8× 42 349
Qinfeng Li China 11 47 0.8× 18 0.3× 17 0.3× 28 0.6× 36 1.0× 37 295
Chengyuan Zhu China 9 43 0.7× 27 0.5× 70 1.3× 91 1.9× 26 0.7× 23 350
Siwei Lu China 9 54 0.9× 31 0.6× 22 0.4× 20 0.4× 8 0.2× 29 279
Ting Yang China 10 37 0.6× 42 0.8× 38 0.7× 54 1.1× 22 0.6× 47 267
Li Xiao China 8 74 1.3× 26 0.5× 28 0.5× 103 2.1× 40 1.1× 30 369
Arnaud Lejeune France 8 64 1.1× 17 0.3× 34 0.6× 12 0.2× 54 1.5× 29 353
Sihan Wang China 12 89 1.5× 30 0.5× 13 0.2× 62 1.3× 14 0.4× 36 383
Wenwen Yu China 12 30 0.5× 26 0.5× 46 0.9× 13 0.3× 67 1.9× 42 304

Countries citing papers authored by Taohong Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Taohong Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Taohong Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Taohong Zhang. A scholar is included among the top collaborators of Taohong Zhang 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 Taohong Zhang. Taohong Zhang 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.
Zheng, Han, et al.. (2025). Adaptive DETR: A framework with dynamic sampling points and feature-guided adaptive attention updates. Computer Vision and Image Understanding. 260. 104481–104481.
2.
Zheng, Han, et al.. (2024). A review of artificial intelligent methods for machined surface roughness prediction. Tribology International. 199. 109935–109935. 32 indexed citations
3.
Zhang, Taohong, et al.. (2024). SGNN-T: Space graph neural network coupled transformer for molecular property prediction. Computational Materials Science. 246. 113358–113358. 2 indexed citations
4.
Yu, Hao, et al.. (2023). Construct Trip Graphs by Using Taxi Trajectory Data. Data Science and Engineering. 8(1). 1–22. 11 indexed citations
5.
Luo, Jichang, et al.. (2023). CASMatching strategy for automated detection and quantification of carotid artery stenosis based on digital subtraction angiography. Computer Methods and Programs in Biomedicine. 243. 107871–107871. 3 indexed citations
6.
Wulamu, Aziguli, et al.. (2023). FE-trans-net: Feature enhancement based single branch deep learning model for surface roughness detection. Journal of Manufacturing Processes. 105. 324–337. 8 indexed citations
7.
Wulamu, Aziguli, et al.. (2023). MD-GNN: A mechanism-data-driven graph neural network for molecular properties prediction and new material discovery. Journal of Molecular Graphics and Modelling. 123. 108506–108506. 22 indexed citations
8.
Zhang, Taohong, et al.. (2022). TransG-net: transformer and graph neural network based multi-modal data fusion network for molecular properties prediction. Applied Intelligence. 53(12). 16077–16088. 7 indexed citations
9.
Zhang, Taohong, et al.. (2022). Review on Perovskite-Type Compound Using Machine Learning. Science of Advanced Materials. 14(6). 1001–1017. 4 indexed citations
10.
Zhang, Taohong, et al.. (2022). WPC-SS: multi-label wear particle classification based on semantic segmentation. Machine Vision and Applications. 33(3). 7 indexed citations
11.
Zhang, Taohong, et al.. (2021). A Feature Fusion Method with Guided Training for Classification Tasks. Computational Intelligence and Neuroscience. 2021(1). 6647220–6647220. 8 indexed citations
12.
Zhang, Taohong, et al.. (2020). CDCNN: A Model Based on Class Center Vectors and Distance Comparison for Wear Particle Recognition. IEEE Access. 8. 113262–113270. 11 indexed citations
13.
Zhang, Zhixun, Ming Zhou, Taohong Zhang, et al.. (2020). Few-Layer Borophene Prepared by Mechanical Resonance and Its Application in Terahertz Shielding. ACS Applied Materials & Interfaces. 12(17). 19746–19754. 34 indexed citations
14.
Zhang, Taohong, et al.. (2018). Multiscale modelling for the heterogeneous strength of biodegradable polyesters. Journal of the mechanical behavior of biomedical materials. 90. 337–349. 8 indexed citations
15.
Yang, Zhiyong, et al.. (2017). Extreme learning machines for regression based on V-matrix method. Cognitive Neurodynamics. 11(5). 453–465. 1 indexed citations
16.
Zhang, Taohong, et al.. (2016). A multi-scale method for modeling degradation of bioresorbable polyesters. Acta Biomaterialia. 50. 462–475. 29 indexed citations
17.
Yang, Zhiyong, Taohong Zhang, & Dezheng Zhang. (2015). A novel algorithm with differential evolution and coral reef optimization for extreme learning machine training. Cognitive Neurodynamics. 10(1). 73–83. 34 indexed citations
18.
Yang, Zhiyong, et al.. (2015). GENOUD-BP: A novel training algorithm for artificial neural networks. Advances in engineering research. 1 indexed citations
19.
Zhang, Taohong, et al.. (2015). A Text Clustering Algorithm Hybriding Invasive Weed Optimization with K-Means. 25. 1333–1338. 2 indexed citations
20.
Zhang, Taohong, et al.. (2007). Parameter optimization of laser die-surface hardening using the particle swarm optimization technique. The International Journal of Advanced Manufacturing Technology. 36(11-12). 1104–1112. 5 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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