Renhe Jiang

2.3k citations
87 papers · 1.2k indexed · 2 hit papers · h-index 20

Renhe Jiang

74 papers receiving 1.2k citations

Hit Papers

Spatio-Temporal Meta-Graph Learning for Traffic Forecasting13720232026202420254080120

Peers

Renhe Jiang
Comparison fields: 5 of 95
  • Transportation 551
  • Building and Construction 679
  • Signal Processing 326
  • Computational Mathematics 11
  • Artificial Intelligence 316
Replace Xiaoliang Fan with:
Xiaoliang Fan China
Zipei Fan Japan
Quanjun Chen Japan
Kunqing Xie China
Tongyu Zhu China
Huandong Wang China
Étienne Côme France
Jia-Dong Zhang Hong Kong
Funing Sun China
Andreas Züfle United States
Renhe Jiang relative to Xiaoliang Fan China Xiaoliang Fan's profile →
Citations per field
00.5×1.7×
Xiaoliang Fan · 1×
Citations per year

Countries citing papers authored by Renhe Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Renhe Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20251
3 20250
4 20252
5 20240
6 20245
7 20240
8 202428
9 20244
10 202415
11 202315
12 20234
13 202314
14
Spatio-Temporal Adaptive Embedding Makes Vanilla Transformer SOTA for Traffic Forecastingbreakdown →
2023120
15 20232
16 20231
17 202235
18 202210
19 202216
20 202126

About Renhe Jiang

Renhe Jiang is a scholar working on Transportation, Building and Construction, Signal Processing, Computational Mathematics and Modeling and Simulation, having authored 87 papers that have together received 1.2k indexed citations. Recurring topics across this work include Human Mobility and Location-Based Analysis (44 papers), Traffic Prediction and Management Techniques (41 papers), Data Management and Algorithms (13 papers), Transportation Planning and Optimization (13 papers), Time Series Analysis and Forecasting (13 papers), Anomaly Detection Techniques and Applications (10 papers), Data-Driven Disease Surveillance (10 papers) and Video Surveillance and Tracking Methods (7 papers). The work is most often cited by research in Transportation (551 citations), Building and Construction (679 citations), Signal Processing (326 citations), Computational Mathematics (11 citations) and Artificial Intelligence (316 citations). Renhe Jiang has collaborated with scholars based in Japan, China and United States. Frequent co-authors include Xuan Song, Ryosuke Shibasaki, Quanjun Chen, Zipei Fan, Jinliang Deng, Zhaonan Wang, Tianqi Xia, Xiusi Chen, Ivor W. Tsang and Jiewen Deng. Their work appears in journals such as IEEE Transactions on Knowledge and Data Engineering, Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies, IEEE Transactions on Mobile Computing, GeoInformatica and ACM Transactions on Knowledge Discovery from Data.

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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