Denglong Ma

808 total citations
34 papers, 605 citations indexed

About

Denglong Ma is a scholar working on Environmental Engineering, Global and Planetary Change and Biomedical Engineering. According to data from OpenAlex, Denglong Ma has authored 34 papers receiving a total of 605 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Environmental Engineering, 9 papers in Global and Planetary Change and 8 papers in Biomedical Engineering. Recurrent topics in Denglong Ma's work include Air Quality Monitoring and Forecasting (10 papers), Atmospheric and Environmental Gas Dynamics (9 papers) and Advanced Chemical Sensor Technologies (7 papers). Denglong Ma is often cited by papers focused on Air Quality Monitoring and Forecasting (10 papers), Atmospheric and Environmental Gas Dynamics (9 papers) and Advanced Chemical Sensor Technologies (7 papers). Denglong Ma collaborates with scholars based in China, United States and Singapore. Denglong Ma's co-authors include Zaoxiao Zhang, Jianmin Gao, Jianqiang Deng, Wei Tan, Hong Zhao, Qingsheng Wang, Simin Wang, Hong Zhao, Xiaoqiao Wang and Wei Tan and has published in prestigious journals such as Journal of Hazardous Materials, Scientific Reports and Nano Energy.

In The Last Decade

Denglong Ma

33 papers receiving 595 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Denglong Ma China 14 295 145 101 82 72 34 605
Pradeep Kurup United States 21 82 0.3× 312 2.2× 28 0.3× 400 4.9× 25 0.3× 58 1.3k
Junjie Li China 15 91 0.3× 107 0.7× 8 0.1× 62 0.8× 25 0.3× 46 615
Grazia Fattoruso Italy 10 151 0.5× 100 0.7× 33 0.3× 83 1.0× 42 0.6× 38 353
Xiaomeng Xu China 17 174 0.6× 44 0.3× 13 0.1× 27 0.3× 20 0.3× 56 1.0k
Jinwen Li China 17 49 0.2× 181 1.2× 3 0.0× 220 2.7× 62 0.9× 52 1.0k
Si‐Qi Li China 23 94 0.3× 86 0.6× 8 0.1× 92 1.1× 13 0.2× 85 1.2k
Nathan Mendes Brazil 19 611 2.1× 100 0.7× 2 0.0× 29 0.4× 26 0.4× 73 1.3k
Sijie Zhu China 17 243 0.8× 120 0.8× 5 0.0× 103 1.3× 83 1.2× 47 834

Countries citing papers authored by Denglong Ma

Since Specialization
Citations

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

Fields of papers citing papers by Denglong Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Denglong Ma

This figure shows the co-authorship network connecting the top 25 collaborators of Denglong Ma. A scholar is included among the top collaborators of Denglong 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 Denglong Ma. Denglong Ma 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.
Zhang, Bao, et al.. (2025). DyGAT-FTNet: A Dynamic Graph Attention Network for Multi-Sensor Fault Diagnosis and Time–Frequency Data Fusion. Sensors. 25(3). 810–810. 4 indexed citations
2.
Ma, Denglong, Guangsen Zhang, Chaoyi Liu, et al.. (2024). Dynamic risk assessment of gas pipeline operation process by fusing visual and olfactory monitoring. Journal of Safety Science and Resilience. 5(2). 156–166.
3.
Ma, Denglong, et al.. (2024). A Real-Time Multifactor Risk Monitoring Method for the Gas Pipeline Operation Process Based on Mix-Supervised Target Recognition. ACS Chemical Health & Safety. 31(3). 259–267. 1 indexed citations
4.
Ma, Denglong, et al.. (2024). Optimization of sampling structure on unmanned aerial vehicle for gas leakage monitoring in the atmosphere. Robotica. 43(2). 499–513. 1 indexed citations
5.
Ma, Denglong, Ao Liu, Jianmin Gao, et al.. (2024). Visual detection and identification of gas outflow based on physical-algorithmic coupled enhancement method. Flow Measurement and Instrumentation. 96. 102567–102567. 3 indexed citations
6.
Yang, Junliang, et al.. (2024). GLE-net: global-local information enhancement for semantic segmentation of remote sensing images. Scientific Reports. 14(1). 25282–25282. 4 indexed citations
7.
Zhang, Yingzhen, Denglong Ma, Yonggang Lei, et al.. (2023). Markedly enhanced hydrogen production in wastewater via ammonia-mediated metal oxyhydroxides active sites on bifunctional electrocatalysts. Nano Energy. 117. 108896–108896. 34 indexed citations
8.
Ma, Denglong, et al.. (2022). Gas Leakage Recognition Based on Wide-Band Infrared Imaging with the Auxiliary Excitation Method and Machine Learning Model. ACS Chemical Health & Safety. 29(5). 455–466. 6 indexed citations
9.
Ma, Denglong, et al.. (2022). Comparison and Improvement of Bioinspired Mobile Algorithms to Trace the Emission Source Based on the Simulation Scenarios. Atmosphere. 13(5). 661–661. 1 indexed citations
10.
Wang, Jian, Yunchuan Xie, Yifei Zhang, et al.. (2021). The ultrahigh discharge efficiency and energy density of P(VDF-HFP)viaelectrospinning-hot press with St-MMA copolymer. Materials Chemistry Frontiers. 5(9). 3646–3656. 15 indexed citations
11.
Ma, Denglong, et al.. (2021). CO2 Leakage Identification Method Based on Complex Time–Frequency Spectrum of Atmospheric CO2 Variation. ACS Chemical Health & Safety. 28(5). 376–386. 2 indexed citations
12.
Ma, Denglong, et al.. (2021). Emission source tracing based on bionic algorithm mobile sensors with artificial olfactory system. Robotica. 40(4). 976–996. 7 indexed citations
13.
Ma, Denglong, Jianmin Gao, Zaoxiao Zhang, & Hong Zhao. (2021). Identifying atmospheric pollutant sources using a machine learning dispersion model and Markov chain Monte Carlo methods. Stochastic Environmental Research and Risk Assessment. 35(2). 271–286. 16 indexed citations
14.
Ma, Denglong, et al.. (2020). Prediction of thermally induced failure for electronic equipment based on an artificial olfactory system. Measurement Science and Technology. 32(3). 35103–35103. 3 indexed citations
15.
Ma, Denglong, Jianmin Gao, Zaoxiao Zhang, & Qingsheng Wang. (2019). An Improved Firefly Algorithm for Gas Emission Source Parameter Estimation in Atmosphere. IEEE Access. 7. 111923–111930. 14 indexed citations
16.
Ma, Denglong, Wei Tan, Qingsheng Wang, et al.. (2018). Application and improvement of swarm intelligence optimization algorithm in gas emission source identification in atmosphere. Journal of Loss Prevention in the Process Industries. 56. 262–271. 27 indexed citations
17.
Ma, Denglong, et al.. (2017). Recognition of leak CO 2 with wavelet analysis based on correlation monitoring between CO 2 and O 2 in atmosphere. Process Safety and Environmental Protection. 114. 64–78. 11 indexed citations
18.
Ma, Denglong & Zaoxiao Zhang. (2016). Contaminant dispersion prediction and source estimation with integrated Gaussian-machine learning network model for point source emission in atmosphere. Journal of Hazardous Materials. 311. 237–245. 83 indexed citations
19.
20.
Ma, Denglong, Jianqiang Deng, & Zaoxiao Zhang. (2014). CO2 Leakage Identification in Geosequestration Based on Real Time Correlation Analysis Between Atmospheric O2 and CO2. Chinese Journal of Chemical Engineering. 22(6). 634–642. 12 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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