Jihui Ma

2.2k citations
46 papers · 1.7k indexed · 1 hit paper · h-index 14

Jihui Ma

46 papers receiving 1.6k citations

Hit Papers

Learning Traffic as Images: A Deep Convolutional Neural N...1.1k20172026202020232505007501000

Peers

Jihui Ma
Comparison fields: 5 of 105
  • Transportation 983
  • Building and Construction 1.1k
  • Control and Systems Engineering 597
  • Automotive Engineering 286
  • Signal Processing 132
Replace Zhuang Dai with:
Zhuang Dai China
Hilmi Berk Çelikoğlu Türkiye
Vadim Sokolov United States
Mecit Cetin United States
Xingming Wu China
Guanjie Zheng China
Mahmoud Owais Egypt
Bin Ran China
Yun Wei China
Jihui Ma relative to Zhuang Dai China Zhuang Dai's profile →
Citations per field
00.5×2.8×
Zhuang Dai · 1×
Citations per year

Countries citing papers authored by Jihui Ma

Since Specialization
Citations

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

Fields of papers citing papers by Jihui Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Jihui 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 Jihui Ma Line = papers co-authored together Jihui Ma links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 202413
3 20245
4 20242
5 202315
6 20222
7 20214
8 202112
9 202121
10 201910
11 201911
12 20187
13 201733
14 201711
15
Learning Traffic as Images: A Deep Convolutional Neural Network for Large-Scale Transportation Network Speed Predictionbreakdown →
20171057
16 201758
17 201615
18 20152
19 201425
20 201225

About Jihui Ma

Jihui Ma is a scholar working on Transportation, Automotive Engineering, Building and Construction, Industrial and Manufacturing Engineering and Control and Systems Engineering, having authored 46 papers that have together received 1.7k indexed citations. Recurring topics across this work include Transportation Planning and Optimization (28 papers), Transportation and Mobility Innovations (14 papers), Traffic control and management (13 papers), Traffic Prediction and Management Techniques (11 papers), Vehicle Routing Optimization Methods (6 papers), Urban Transport and Accessibility (5 papers), Advanced Fiber Optic Sensors (4 papers) and Human Mobility and Location-Based Analysis (4 papers). The work is most often cited by research in Transportation (983 citations), Building and Construction (1.1k citations), Control and Systems Engineering (597 citations), Automotive Engineering (286 citations) and Signal Processing (132 citations). Jihui Ma has collaborated with scholars based in China, New Zealand and Israel. Frequent co-authors include Xiaolei Ma, Yong Wang, Zhuang Dai, Zhengbing He, Yunpeng Wang, Wei Guan, Tuanwei Xu, Avishai Ceder, Tao Liu and Wenyi Zhang. Their work appears in journals such as Journal of Advanced Transportation, Sensors, PLoS ONE, Transportation Research Part C Emerging Technologies and Energies.

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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