Dekang Qi

3.9k total citations · 4 hit papers
8 papers, 2.6k citations indexed

About

Dekang Qi is a scholar working on Building and Construction, Mechanical Engineering and Transportation. According to data from OpenAlex, Dekang Qi has authored 8 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Building and Construction, 4 papers in Mechanical Engineering and 3 papers in Transportation. Recurrent topics in Dekang Qi's work include Traffic Prediction and Management Techniques (4 papers), Human Mobility and Location-Based Analysis (3 papers) and Anomaly Detection Techniques and Applications (2 papers). Dekang Qi is often cited by papers focused on Traffic Prediction and Management Techniques (4 papers), Human Mobility and Location-Based Analysis (3 papers) and Anomaly Detection Techniques and Applications (2 papers). Dekang Qi collaborates with scholars based in China and United Kingdom. Dekang Qi's co-authors include Yu Zheng, Junbo Zhang, Xiuwen Yi, Ruiyuan Li, Tianrui Li, Junkai Sun, Zhongwei Guan, Qingyuan Wang, Hao Zhang and Feng Zhao and has published in prestigious journals such as Journal of Materials Science, Artificial Intelligence and IEEE Transactions on Knowledge and Data Engineering.

In The Last Decade

Dekang Qi

7 papers receiving 2.6k citations

Hit Papers

Deep Spatio-Temporal Residual Networks for Citywide Crowd... 2016 2026 2019 2022 2017 2016 2018 2019 400 800 1.2k

Peers

Dekang Qi
Comparison fields: 5 of 98
  • Building and Construction 2.0k
  • Transportation 1.7k
  • Control and Systems Engineering 668
  • Signal Processing 400
  • Artificial Intelligence 328
Replace Wenwen Kang with:
Wenwen Kang China
Chao Song China
Bowen Du China
Ning Feng China
Shengnan Guo China
Huachun Tan China
Zonghan Wu Australia
Xiuwen Yi China
Xiaoliang Fan China
Wenwen Kang China View profile →
Citations per field, relative to Dekang Qi
Dekang Qi · 1×
Citations per year, relative to Dekang Qi
Dekang Qi · 1×

Countries citing papers authored by Dekang Qi

Since Specialization
Citations

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

Fields of papers citing papers by Dekang Qi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dekang Qi

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

All Works

8 of 8 papers shown
# Work Indexed citations
1 4
2 0
3
Flow Prediction in Spatio-Temporal Networks Based on Multitask Deep Learning breakdown →
258
4
Predicting citywide crowd flows using deep spatio-temporal residual networks breakdown →
392
5 11
6 21
7
Deep Spatio-Temporal Residual Networks for Citywide Crowd Flows Prediction breakdown →
1464
8
DNN-based prediction model for spatio-temporal data breakdown →
478

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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