Chujie Tian

457 total citations · 1 hit paper
9 papers, 348 citations indexed

About

Chujie Tian is a scholar working on Building and Construction, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Chujie Tian has authored 9 papers receiving a total of 348 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Building and Construction, 3 papers in Computer Vision and Pattern Recognition and 2 papers in Computer Networks and Communications. Recurrent topics in Chujie Tian's work include Traffic Prediction and Management Techniques (4 papers), Transportation Planning and Optimization (2 papers) and Stock Market Forecasting Methods (2 papers). Chujie Tian is often cited by papers focused on Traffic Prediction and Management Techniques (4 papers), Transportation Planning and Optimization (2 papers) and Stock Market Forecasting Methods (2 papers). Chujie Tian collaborates with scholars based in China, Canada and Hong Kong. Chujie Tian's co-authors include Jian Ma, Chunhong Zhang, Panpan Zhan, Xinning Zhu, Zheng Hu, Jian Ma, Yang Ji, Yue Zhou, Tianyu Shi and Ruizhi Zhang and has published in prestigious journals such as Neurocomputing, Energies and Applied Intelligence.

In The Last Decade

Chujie Tian

7 papers receiving 337 citations

Hit Papers

A Deep Neural Network Mod... 2018 2026 2020 2023 2018 50 100 150 200 250
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. A Deep Neural Network Model for Short-Term Load Forecast Based on Long Short-Term Memory Network and Convolutional Neural Network
    2018 293 citations Chujie Tian, Jian Ma et al. Energies profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Chujie Tian China 4 215 90 80 69 57 9 348
Salah Bouktif United Arab Emirates 5 179 0.8× 97 1.1× 97 1.2× 32 0.5× 28 0.5× 13 351
Lorena Calavia Spain 8 238 1.1× 94 1.0× 57 0.7× 44 0.6× 82 1.4× 13 361
Zhewen Niu China 6 351 1.6× 168 1.9× 30 0.4× 84 1.2× 49 0.9× 15 492
Renzhuo Wan China 6 99 0.5× 70 0.8× 36 0.5× 70 1.0× 32 0.6× 11 304
Panpan Zhan China 3 216 1.0× 84 0.9× 55 0.7× 64 0.9× 47 0.8× 3 313
Sahm Kim South Korea 7 231 1.1× 65 0.7× 64 0.8× 44 0.6× 23 0.4× 26 307
Jae-Koo Noh South Korea 2 306 1.4× 73 0.8× 71 0.9× 69 1.0× 71 1.2× 3 349
Zhihao Shang China 13 279 1.3× 162 1.8× 32 0.4× 57 0.8× 25 0.4× 28 480

Countries citing papers authored by Chujie Tian

Since Specialization
Citations

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

Fields of papers citing papers by Chujie Tian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chujie Tian

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

All Works

9 of 9 papers shown
1.
2.
Zhang, Le, et al.. (2024). Spatio-Temporal Sequence Modeling for Traffic Signal Control. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 4076–4080.
3.
Tian, Chujie, Xinning Zhu, Zheng Hu, & Jian Ma. (2021). A transfer approach with attention reptile method and long-term generation mechanism for few-shot traffic prediction. Neurocomputing. 452. 15–27. 21 indexed citations
4.
Tian, Chujie, Xinning Zhu, Zheng Hu, & Jian Ma. (2020). Deep spatial-temporal networks for crowd flows prediction by dilated convolutions and region-shifting attention mechanism. Applied Intelligence. 50(10). 3057–3070. 25 indexed citations
5.
Zhang, Ruizhi, Chujie Tian, & Yang Ji. (2019). An emotion recognition system based on edge computing and cloud computing applied in the kindergarten. 1–5. 1 indexed citations
6.
Tian, Chujie, et al.. (2018). Intelligent Consumer Flow and Experience Analysis System Based on Cognitive Intelligence: Smart Eye System. Journal of Physics Conference Series. 1069. 12013–12013. 1 indexed citations
7.
Zhou, Yue, Yang Ji, & Chujie Tian. (2018). A Prediction Model of Wechat Official Account's Article Reading Volume. 2001. 548–555. 2 indexed citations
8.
Ji, Yang, et al.. (2018). Retail Time Series Prediction Based on EMD and Deep Learning. 425–430. 5 indexed citations
9.
Tian, Chujie, Jian Ma, Chunhong Zhang, & Panpan Zhan. (2018). A Deep Neural Network Model for Short-Term Load Forecast Based on Long Short-Term Memory Network and Convolutional Neural Network. Energies. 11(12). 3493–3493. 293 indexed citations breakdown →

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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