Junchen Ye

981 citations
35 papers · 669 · h-index 11

Impact in

Papers in

Junchen Ye

27 papers receiving 665 citations

Peers

Junchen Ye
Comparison fields: 5 of 68
  • Transportation 210
  • Building and Construction 325
  • Signal Processing 148
  • Artificial Intelligence 161
  • Civil and Structural Engineering 86
Replace Christian Beckel with:
Christian Beckel Germany
Santos Sánchez‐Cambronero Spain
Chen Cai Australia
Xiaoyang Wang China
Ioannis Tsapakis United States
Siyu Lu China
Gaetano Valenti Italy
Tanzina Afrin United States
Lyuchao Liao China
Junchen Ye relative to Christian Beckel Germany Christian Beckel's profile →
Citations per field
00.5×5×10×16.5×
Christian Beckel · 1×
Citations per year

Countries citing papers authored by Junchen Ye

Since Specialization
Citations

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

Fields of papers citing papers by Junchen Ye

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021147
2 2019119
3 202286
4 202166
5 202350
6 202142
7 202128
8 202225
9 202217
10 202111
11 202511
12 202410
13 20248
14 20247
15 20237
16 20217
17 20247
18 20235
19 20245
20 20243

About Junchen Ye

Junchen Ye is a scholar working on Building and Construction, Civil and Structural Engineering, Signal Processing, Artificial Intelligence and Transportation, having authored 35 papers that have together received 669 indexed citations. Recurring topics across this work include Traffic Prediction and Management Techniques (7 papers), Time Series Analysis and Forecasting (5 papers), Advanced Graph Neural Networks (4 papers), Rock Mechanics and Modeling (4 papers), Infrastructure Maintenance and Monitoring (4 papers), Transportation Planning and Optimization (4 papers), Tunneling and Rock Mechanics (3 papers) and Dam Engineering and Safety (3 papers). The work is most often cited by research in Transportation (210 citations), Building and Construction (325 citations), Signal Processing (148 citations), Artificial Intelligence (161 citations) and Civil and Structural Engineering (86 citations). Junchen Ye has collaborated with scholars based in China, United States and Macao. Frequent co-authors include Leilei Sun, Bowen Du, Yanjie Fu, Hui Hua Xiong, Xinran Tong, Bowen Du, Xuyan Tan, Weimiao Li, Leilei Sun and Zihan Liu. Their work appears in journals such as Knowledge-Based Systems, Structural Health Monitoring, Information Sciences, Structural Control and Health Monitoring and Engineering.

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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