Tong Zhan

2.0k total citations · 1 hit paper
36 papers, 831 citations indexed

About

Tong Zhan is a scholar working on Biomedical Engineering, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Tong Zhan has authored 36 papers receiving a total of 831 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Biomedical Engineering, 6 papers in Artificial Intelligence and 5 papers in Electrical and Electronic Engineering. Recurrent topics in Tong Zhan's work include Catalysis for Biomass Conversion (10 papers), Electrochemical Analysis and Applications (4 papers) and Catalysis and Hydrodesulfurization Studies (4 papers). Tong Zhan is often cited by papers focused on Catalysis for Biomass Conversion (10 papers), Electrochemical Analysis and Applications (4 papers) and Catalysis and Hydrodesulfurization Studies (4 papers). Tong Zhan collaborates with scholars based in China, United States and Saudi Arabia. Tong Zhan's co-authors include Gary Amy, Rodrigo Valladares Linares, Victor Yangali-Quintanilla, Zhenyu Li, Qingyu Li, Limin Wang, Yu Qiao, Hua Tan, Zhiyu Zhao and Yi Wang and has published in prestigious journals such as Water Research, Chemical Communications and Food Chemistry.

In The Last Decade

Tong Zhan

34 papers receiving 812 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

VideoMAE V2: Scaling Video Masked Autoencoders with Dual Masking

2023 179 citations Limin Wang, Tong Zhan et al. profile →

Peers

Tong Zhan

BE

WST

EEE

CVPR

AI

R. Saravanan India

Pratibha Singh India

Jun Chang China

Yong Cheng China

T. Sheela India

Jiajia Xu China

Chenglin Liu China

Gengwei Zhang China

Ding Chun China

R. Saravanan India

Tong Zhan

142 ×0.4

BE

176 ×0.8

WST

205 ×1.1

EEE

48 ×0.3

CVPR

132 ×1.1

AI

Citations per year, relative to Tong Zhan Tong Zhan (= 1×) peers R. Saravanan

Countries citing papers authored by Tong Zhan

Since Specialization

Citations

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

Fields of papers citing papers by Tong Zhan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tong Zhan

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Zhan, Tong, et al.. (2025). A Simulation Framework for Workload Management in Hybrid Quantum-HPC Cloud System. 1851–1859.

2.

Li, Shulin, Yaping Han, Tong Zhan, et al.. (2025). Oncogenic RAS induces a distinctive form of non-canonical autophagy mediated by the P38-ULK1-PI4KB axis. Cell Research. 35(6). 399–422. 5 indexed citations

3.

Zhan, Tong, et al.. (2025). Contextual AD Narration with Interleaved Multimodal Sequence. 8372–8383.

4.

Zhan, Tong, et al.. (2024). Optimization techniques for sentiment analysis based on LLM (GPT-3). Applied and Computational Engineering. 77(1). 251–257. 2 indexed citations

5.

Zhan, Tong, et al.. (2024). Optimization techniques for sentiment analysis based on LLM (GPT-3). Applied and Computational Engineering. 67(1). 27–33. 15 indexed citations

6.

Zhan, Tong, et al.. (2024). RNA secondary structure prediction using transformer-based deep learning models. Applied and Computational Engineering. 64(1). 87–93. 7 indexed citations

7.

Wu, Yichao, et al.. (2024). Research on the application of deep learning-based BERT model in sentiment analysis. Applied and Computational Engineering. 67(1). 280–286. 6 indexed citations

8.

Liu, Zhisen, Wenyu Xie, Zhiyuan Zhang, et al.. (2023). ‘MoS2-coated nitrogen/oxygen co-doped carbon nanocages composite as active material for supercapacitor electrodes. Journal of Solid State Chemistry. 331. 124527–124527. 5 indexed citations

9.

Tan, Hua, Xuecheng Li, Tong Zhan, et al.. (2023). Transfer hydrogenation of quinolines with glycerol over N-doped carbon encapsulated non-noble metal catalysts: Mott-Schottky effect on the catalytic activity. Applied Catalysis A General. 670. 119552–119552. 5 indexed citations

10.

Liu, Zhisen, Zhiyuan Zhang, Wenyu Xie, Yufeng Mao, & Tong Zhan. (2023). Fabrication of sisal fiber carbon paper-polyaniline composite as binder-free electrodes for supercapacitor. Materials Letters. 357. 135663–135663. 2 indexed citations

11.

Chen, Lei, Tong Zhan, Yibing Song, Gangshan Wu, & Limin Wang. (2023). Efficient Video Action Detection with Token Dropout and Context Refinement. 10354–10365. 6 indexed citations

12.

Tan, Hua, Xuecheng Li, Hao Ma, et al.. (2022). Facile preparation of N-doped graphitic carbon encapsulated nickel catalysts for transfer hydrogenolysis of lignin β-O-4 model compounds to aromatics. Sustainable Energy & Fuels. 6(11). 2745–2754. 14 indexed citations

13.

Zhan, Tong, Xin Zhou, Yanan Chu, et al.. (2022). Implications of oral streptococcal bacteriophages in autism spectrum disorder. npj Biofilms and Microbiomes. 8(1). 91–91. 8 indexed citations

14.

Zhu, Jiaping, et al.. (2021). A new 3D Ag(i)-based high-energy metal organic frameworks (HE-MOFs): synthesis, crystal structure and explosive performance. New Journal of Chemistry. 45(7). 3552–3558. 4 indexed citations

15.

Qian, Chenyu, Changgang Li, Tong Zhan, Cai Wang, & Zhangmin Xiang. (2021). Determination of Naphthenic Acids in Oil Sand Processed Water by Two-Dimensional Gas Chromatography with Quadrupole Time-of-Flight Mass Spectrometry (2D GC-QTOFMS). Analytical Letters. 55(1). 24–31. 3 indexed citations

16.

Li, Zhenyu, et al.. (2013). Osmotically driven membrane process for the management of urban runoff in coastal regions. Water Research. 48. 200–209. 30 indexed citations

17.

Li, Zhenyu, Victor Yangali-Quintanilla, Rodrigo Valladares Linares, et al.. (2011). Flux patterns and membrane fouling propensity during desalination of seawater by forward osmosis. Water Research. 46(1). 195–204. 185 indexed citations

18.

Lu, Guanghan, et al.. (2003). Determination of copper in food by stripping voltammetry using Cu(II)–[2-(2,3,5-triazolylazo)-5-dimethylaninobenzonic] complex. Food Chemistry. 84(2). 319–322. 23 indexed citations

19.

Wu, Xiaogang, et al.. (2001). Studies on Electrochemical Behavior of Bromideat a Chitosan-Modified Glassy Carbon Electrode. Electroanalysis. 13(11). 923–926. 26 indexed citations

20.

Lu, Guanghan, Xin Yao, Xiaogang Wu, & Tong Zhan. (2001). Determination of the total iron by chitosan-modified glassy carbon electrode. Microchemical Journal. 69(1). 81–87. 59 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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