Zezhong Ma

921 total citations · 1 hit paper
34 papers, 634 citations indexed

About

Zezhong Ma is a scholar working on Atmospheric Science, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Zezhong Ma has authored 34 papers receiving a total of 634 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Atmospheric Science, 7 papers in Artificial Intelligence and 7 papers in Electrical and Electronic Engineering. Recurrent topics in Zezhong Ma's work include Remote Sensing and Land Use (8 papers), Electrocatalysts for Energy Conversion (6 papers) and Fuel Cells and Related Materials (6 papers). Zezhong Ma is often cited by papers focused on Remote Sensing and Land Use (8 papers), Electrocatalysts for Energy Conversion (6 papers) and Fuel Cells and Related Materials (6 papers). Zezhong Ma collaborates with scholars based in China, Malaysia and Bulgaria. Zezhong Ma's co-authors include Hong Huang, Fulin Luo, Jiamin Liu, Aimin Yang, Lijun Liu, Chunmei Ma, Shoukun Dong, Wenjia Wang, Yuchen Dong and Chao Yan and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Geoscience and Remote Sensing and Energy.

In The Last Decade

Zezhong Ma

31 papers receiving 616 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.

A survey on big data-enabled innovative online education systems during the COVID-19 pandemic

2022 74 citations Zezhong Ma, Aimin Yang et al. profile →

Peers

Zezhong Ma

AI

PS

MT

CVPR

AS

Tjeng Wawan Cenggoro Indonesia

Xinyu Wang China

Kusworo Adi Indonesia

S. Margret Anouncia India

Laura Elena Raileanu Switzerland

Muhammad Usama Pakistan

F. Javier Zarazaga‐Soria Spain

Shailender Kumar India

Chandra Shekhar Yadav India

Tjeng Wawan Cenggoro Indonesia

Zezhong Ma

291 ×1.6

AI

177 ×1.1

PS

41 ×0.4

MT

177 ×2.5

CVPR

17 ×0.2

AS

Citations per year, relative to Zezhong Ma Zezhong Ma (= 1×) peers Tjeng Wawan Cenggoro

Countries citing papers authored by Zezhong Ma

Since Specialization

Citations

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

Fields of papers citing papers by Zezhong Ma

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zezhong Ma

This figure shows the co-authorship network connecting the top 25 collaborators of Zezhong Ma. A scholar is included among the top collaborators of Zezhong Ma 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 Zezhong Ma. Zezhong Ma 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.

Roosli, Ruhizal, et al.. (2025). From isolation to integration: A methodological review of adaptive reuse in industrial heritage buildings. Energy and Buildings. 348. 116474–116474. 1 indexed citations

2.

Yang, Renfei, et al.. (2024). Regional Differences in Carbon Budgets and Inter-Regional Compensation Zoning: A Case Study of Chongqing, China. Land. 13(9). 1495–1495.

3.

Li, Hao, et al.. (2023). Review on security of federated learning and its application in healthcare. Future Generation Computer Systems. 144. 271–290. 86 indexed citations

4.

Liu, Yikai, et al.. (2023). Overview of Internet of Medical Things Security Based on Blockchain Access Control. Journal of Database Management. 34(3). 1–20. 3 indexed citations

5.

Wang, Xiaopan, et al.. (2023). Research on a Hyperspectral Rice Yield Estimation Model Based on Random Forest. 445–449.

6.

Yang, Aimin, Zezhong Ma, Chunying Zhang, et al.. (2022). Review on application progress of federated learning model and security hazard protection. Digital Communications and Networks. 9(1). 146–158. 18 indexed citations

7.

Ma, Zezhong, et al.. (2022). An Assisted Diagnosis Model for Cancer Patients Based on Federated Learning. Frontiers in Oncology. 12. 860532–860532. 21 indexed citations

8.

Kong, Shanshan, et al.. (2022). Application of random forest based on semi-automatic parameter adjustment for optimization of anti-breast cancer drugs. Frontiers in Oncology. 12. 956705–956705. 5 indexed citations

9.

Dong, Shoukun, Yuchen Dong, Wenjia Wang, et al.. (2019). A study on soybean responses to drought stress and rehydration. Saudi Journal of Biological Sciences. 26(8). 2006–2017. 166 indexed citations

10.

Ma, Zezhong, Ram L. Ray, & Yiping He. (2018). Assessing the spatiotemporal distributions of evapotranspiration in the Three Gorges Reservoir Region of China using remote sensing data. Journal of Mountain Science. 15(12). 2676–2692. 11 indexed citations

11.

Luo, Fulin, Hong Huang, Jiamin Liu, & Zezhong Ma. (2017). Fusion of Graph Embedding and Sparse Representation for Feature Extraction and Classification of Hyperspectral Imagery. Photogrammetric Engineering & Remote Sensing. 83(1). 37–46. 13 indexed citations

12.

Hu, Yong, et al.. (2016). Knowledge driven change detection method for aircraft targets. Guotu ziyuan yaogan. 28(4). 77–82. 1 indexed citations

13.

Fang, Shuo, et al.. (2016). Development of a micro direct methanol fuel cell with heat control. Energy. 116. 978–985. 17 indexed citations

14.

Liu, Xiaowei, Shuo Fang, Zezhong Ma, & Yufeng Zhang. (2015). Structure Design and Implementation of the Passive μ-DMFC. Micromachines. 6(2). 230–238. 4 indexed citations

15.

Huang, Hong, et al.. (2015). Semi-Supervised Dimensionality Reduction of Hyperspectral Image Based on Sparse Multi-Manifold Learning. Journal of Computer and Communications. 3(11). 33–39. 4 indexed citations

16.

Huang, Hong, Fulin Luo, Zezhong Ma, & Zhihua Liu. (2015). Sparse discriminant learning with ℓ₁-graph for hyperspectral remote-sensing image classification. International Journal of Remote Sensing. 36(5). 1307–1328. 7 indexed citations

17.

Ma, Zezhong. (2013). Error analysis and parameter optimization of structured-light vision system. Jisuanji gongcheng yu sheji. 4 indexed citations

18.

Ma, Zezhong, et al.. (2011). Multiscale Analysis of Remote Sensing Data for LUCC Detection. Yaogan jishu yu yingyong. 20(6). 581–585. 1 indexed citations

19.

Ma, Zezhong. (2007). A comparison on urbanization of two mega-polises in western China in recent 20 years. Journal of Chongqing University of Posts and Telecommunications. 19(3). 296–299. 1 indexed citations

20.

Ma, Zezhong. (2007). Experimental study on influences of pressure regulation and control in water supply pipes on volume of water leakage. Shuili shuidian ke-ji jinzhan. 1 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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