Junkai Sun

590 citations
14 papers · 474 · 1 hit paper · h-index 8

Impact in

Papers in

Junkai Sun

12 papers receiving 464 citations

Junkai Sun's Hit Papers

Flow Prediction in Spatio-Temporal Networks Based on Multitask Deep Learning 2019 · 265 citations
2650+2+4Years since publication50100150200250

Peers

Junkai Sun
Comparison fields: 5 of 56
  • Transportation 225
  • Building and Construction 281
  • Earth-Surface Processes 65
  • Signal Processing 51
  • Control and Systems Engineering 85
Replace Shumo Cui with:
Shumo Cui United States
Shuyan Chen China
Géza Pesti United States
Olli‐Pekka Tossavainen United States
Beatriz Pérez-Díaz Spain
Yunfei Zhang China
Haigui Kang China
Ping Yi China
Liu Ru-xun China
Junkai Sun relative to Shumo Cui United States Shumo Cui's profile →
Citations per field
00.5×7.2×
Shumo Cui · 1×
Citations per year

Countries citing papers authored by Junkai Sun

Since Specialization
Citations

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

Fields of papers citing papers by Junkai Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1
Flow Prediction in Spatio-Temporal Networks Based on Multitask Deep Learning
Hit paper breakdown →
2019265
2 202167
3 202153
4 202039
5 201910
6 20237
7 20217
8 20197
9 20146
10 20206
11 20096
12 20091
13 20250
14 20250

About Junkai Sun

Junkai Sun is a scholar working on Earth-Surface Processes, Computational Mechanics, Civil and Structural Engineering, Ecology and Building and Construction, having authored 14 papers that have together received 474 indexed citations. Recurring topics across this work include Coastal and Marine Dynamics (5 papers), Fluid Dynamics Simulations and Interactions (4 papers), Traffic Prediction and Management Techniques (3 papers), Earthquake and Tsunami Effects (3 papers), Hydrology and Sediment Transport Processes (2 papers), Geological formations and processes (2 papers), Human Mobility and Location-Based Analysis (2 papers) and Cavitation Phenomena in Pumps (1 paper). The work is most often cited by research in Transportation (225 citations), Building and Construction (281 citations), Earth-Surface Processes (65 citations), Signal Processing (51 citations) and Control and Systems Engineering (85 citations). Junkai Sun has collaborated with scholars based in China, Singapore and United Kingdom. Frequent co-authors include Yu Zheng, Junbo Zhang, Dekang Qi, Enjin Zhao, Youkou Dong, Lin Mu, Haoyu Jiang, Roger Zimmermann, Kun Ouyang and Yuxuan Liang. Their work appears in journals such as Ocean Engineering, International Journal of Coal Science & Technology, Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies, Applied Sciences and IEEE Transactions on Knowledge and Data 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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