Jiahao Ji

558 citations
19 papers · 338 indexed · 1 hit paper · h-index 8
Topics
Traffic Prediction and Management Techniques (5 papers)Plant Physiology and Cultivation Studies (3 papers)Time Series Analysis and Forecasting (3 papers)

In The Last Decade

Jiahao Ji

16 papers receiving 334 citations

Hit Papers

Spatio-Temporal Self-Supervised Learning for Traffic Flow...202320262024202520234080120

Peers

Jiahao Ji
Comparison fields: 5 of 73
  • Building and Construction 209
  • Transportation 125
  • Control and Systems Engineering 76
  • Signal Processing 67
  • Artificial Intelligence 48
Replace Juan S. Angarita-Zapata with:
Juan S. Angarita-Zapata Spain
Selim Reza Portugal
Zeenat Rehena India
Jincai Huang China
Yanjie Tao Canada
Shen Fang China
Xiaoyang Wang China
Yao-Jan Wu United States
Jiahao Ji relative to Juan S. Angarita-Zapata Spain Juan S. Angarita-Zapata's profile →
Citations per field
00.5×1.5×2.3×
Juan S. Angarita-Zapata · 1×
Citations per year

Countries citing papers authored by Jiahao Ji

Since Specialization
Citations

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

Fields of papers citing papers by Jiahao Ji

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiahao Ji

This figure shows the co-authorship network connecting the top 25 collaborators of Jiahao Ji. A scholar is included among the top collaborators of Jiahao Ji 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 Jiahao Ji. Jiahao Ji is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
#WorkIndexed citations
1 0
2 2
3 2
4 1
5 6
6 0
7 0
8 6
9 3
10
Spatio-Temporal Self-Supervised Learning for Traffic Flow Predictionbreakdown →
133
11 1
12 18
13 1
14 12
15 66
16 11
17 49
18 19
19 8

About Jiahao Ji

Jiahao Ji is a scholar working on Signal Processing, Building and Construction and Transportation, having authored 19 papers that have together received 338 indexed citations. Recurring topics across this work include Traffic Prediction and Management Techniques (5 papers), Plant Physiology and Cultivation Studies (3 papers) and Time Series Analysis and Forecasting (3 papers). The work is most often cited by research in Transportation (125 citations), Building and Construction (209 citations) and Signal Processing (67 citations). Jiahao Ji has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Jingyuan Wang, Zhe Jiang, Junbo Zhang, Yu Zheng, Chao Huang, Junjie Wu, Boren Xu, Jiawei Jiang, Hu Zhang and Leilei Sun. Their work appears in journals such as IEEE Transactions on Knowledge and Data Engineering, Energies and Scientia Horticulturae.

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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