Renhe Jiang

2.8k citations
104 papers · 1.7k · 2 hit papers · h-index 22

Impact in

Papers in

Renhe Jiang

89 papers receiving 1.7k citations

Renhe Jiang's Hit Papers

Spatio-Temporal Meta-Graph Learning for Traffic Forecasting 2023 · 204 citations
2040+1+2Years since publication50100150200

Peers

Renhe Jiang
Comparison fields: 5 of 100
  • Transportation 669
  • Building and Construction 914
  • Signal Processing 394
  • Computational Mathematics 12
  • Artificial Intelligence 421
Replace Guojiang Shen with:
Guojiang Shen China
Xiaoliang Fan China
Quanjun Chen Japan
Zipei Fan Japan
Étienne Côme France
Kunqing Xie China
Tongyu Zhu China
Wei Ma Hong Kong
Fabio Pinelli Italy
Vadim Sokolov United States
Renhe Jiang relative to Guojiang Shen China Guojiang Shen's profile →
Citations per field
00.5×1.5×2×2.5×
Guojiang Shen · 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-authors

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

Showing the 20 most-cited of 104 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Spatio-Temporal Meta-Graph Learning for Traffic Forecasting
Hit paper breakdown →
2023204
2
Spatio-Temporal Adaptive Embedding Makes Vanilla Transformer SOTA for Traffic Forecasting
Hit paper breakdown →
2023197
3 2021128
4 201982
5 202161
6 201959
7 201851
8 202445
9 202441
10 202140
11 202239
12 202238
13 201837
14 201837
15 202237
16 202435
17 202134
18 202232
19 201931
20 202126

About Renhe Jiang

Renhe Jiang is a scholar working on Transportation, Building and Construction, Signal Processing, Artificial Intelligence and Modeling and Simulation, having authored 104 papers that have together received 1.7k indexed citations. Recurring topics across this work include Human Mobility and Location-Based Analysis (50 papers), Traffic Prediction and Management Techniques (45 papers), Time Series Analysis and Forecasting (14 papers), Transportation Planning and Optimization (14 papers), Data-Driven Disease Surveillance (12 papers), Data Management and Algorithms (12 papers), Anomaly Detection Techniques and Applications (10 papers) and Video Surveillance and Tracking Methods (8 papers). The work is most often cited by research in Transportation (669 citations), Building and Construction (914 citations), Signal Processing (394 citations), Computational Mathematics (12 citations) and Artificial Intelligence (421 citations). Renhe Jiang has collaborated with scholars based in Japan, China and United States. Frequent co-authors include Xuan Song, Ryosuke Shibasaki, Quanjun Chen, Jinliang Deng, Zipei Fan, Zhaonan Wang, Xiusi Chen, Tianqi Xia, Jiewen Deng and Ivor Wai-Hung Tsang. Their work appears in journals such as IEEE Transactions on Knowledge and Data Engineering, GeoInformatica, Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies, ACM Transactions on Knowledge Discovery from Data and Cities.

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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