Zhengjing Ma

1.1k citations
15 papers · 723 indexed · 1 hit paper · h-index 10

Zhengjing Ma

14 papers receiving 704 citations

Hit Papers

Deep learning for geological hazards analysis: Data, mode...201202120262022202450100150200

Peers

Zhengjing Ma
Comparison fields: 5 of 90
  • Management, Monitoring, Policy and Law 287
  • Safety, Risk, Reliability and Quality 152
  • Media Technology 58
  • Global and Planetary Change 134
  • Building and Construction 84
Replace Weidong Wang with:
Weidong Wang China
Lei Fan China
Husam Al-Najjar Australia
Kuan-Tsung Chang Taiwan
Hangbin Wu China
Jianling Huang China
Hyeong‐Dong Park South Korea
Junwei Ma China
Ding Xia China
Zhengjing Ma relative to Weidong Wang China Weidong Wang's profile →
Citations per field
00.5×2.6×
Weidong Wang · 1×
Citations per year

Countries citing papers authored by Zhengjing Ma

Since Specialization
Citations

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

Fields of papers citing papers by Zhengjing Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 9 scholars most cited alongside Zhengjing Ma, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Zhengjing Ma Line = papers co-authored together Zhengjing Ma links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 20250
2 202413
3 202418
4 20244
5 20221
6 20229
7 202212
8 2022110
9 202253
10 20213
11 2021109
12 202149
13
Deep learning for geological hazards analysis: Data, models, applications, and opportunitiesbreakdown →
2021201
14 2020137
15 20194

About Zhengjing Ma

Zhengjing Ma is a scholar working on Management, Monitoring, Policy and Law, Geophysics and Safety, Risk, Reliability and Quality, having authored 15 papers that have together received 723 indexed citations. Recurring topics across this work include Landslides and related hazards (6 papers), Seismology and Earthquake Studies (3 papers), Flood Risk Assessment and Management (3 papers), Anomaly Detection Techniques and Applications (3 papers), Traffic Prediction and Management Techniques (2 papers), Air Quality and Health Impacts (1 paper), Image and Signal Denoising Methods (1 paper) and Air Quality Monitoring and Forecasting (1 paper). The work is most often cited by research in Management, Monitoring, Policy and Law (287 citations), Safety, Risk, Reliability and Quality (152 citations) and Media Technology (58 citations). Zhengjing Ma has collaborated with scholars based in China, Italy and Canada. Frequent co-authors include Gang Mei, Francesco Piccialli, Salvatore Cuomo, Nengxiong Xu, Zhongjian Zhang, Edoardo Prezioso, Biao Li, Yue Lu and Jianbing Peng. Their work appears in journals such as Neural Computing and Applications, Accident Analysis & Prevention, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Big Data and Earth-Science Reviews.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026