Kaijian He

3.3k total citations · 1 hit paper
78 papers, 2.6k citations indexed

About

Kaijian He is a scholar working on Economics and Econometrics, Management Science and Operations Research and Electrical and Electronic Engineering. According to data from OpenAlex, Kaijian He has authored 78 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Economics and Econometrics, 38 papers in Management Science and Operations Research and 24 papers in Electrical and Electronic Engineering. Recurrent topics in Kaijian He's work include Market Dynamics and Volatility (51 papers), Stock Market Forecasting Methods (24 papers) and Energy Load and Power Forecasting (24 papers). Kaijian He is often cited by papers focused on Market Dynamics and Volatility (51 papers), Stock Market Forecasting Methods (24 papers) and Energy Load and Power Forecasting (24 papers). Kaijian He collaborates with scholars based in China, Hong Kong and Macao. Kaijian He's co-authors include Bangzhu Zhu, Kin Keung Lai, Kwok Fai Tso, Lean Yu, Yi‐Ming Wei, Yingchao Zou, Yanhui Chen, Rui Xie, Lei Ji and Ping Wang and has published in prestigious journals such as Journal of Cleaner Production, Applied Energy and Energy Policy.

In The Last Decade

Kaijian He

76 papers receiving 2.5k citations

Hit Papers

Exploring the effect of industrial structure adjustment o... 2019 2026 2021 2023 2019 100 200 300
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. Exploring the effect of industrial structure adjustment on interprovincial green development efficiency in China: A novel integrated approach
    2019 346 citations Bangzhu Zhu, Kaijian He et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kaijian He China 25 1.7k 769 665 398 356 78 2.6k
Xiaolei Sun China 32 1.4k 0.8× 442 0.6× 455 0.7× 368 0.9× 124 0.3× 120 2.8k
Alain Haurie Canada 32 1.4k 0.8× 709 0.9× 346 0.5× 409 1.0× 236 0.7× 210 3.6k
Shaolong Sun China 36 773 0.4× 940 1.2× 1.2k 1.8× 254 0.6× 673 1.9× 96 3.3k
Jian Chai China 24 1.0k 0.6× 406 0.5× 248 0.4× 510 1.3× 550 1.5× 73 1.9k
Zhongbao Zhou China 25 967 0.6× 512 0.7× 160 0.2× 270 0.7× 208 0.6× 96 1.9k
Jin-Hua Xu China 28 1.1k 0.6× 132 0.2× 613 0.9× 765 1.9× 686 1.9× 44 2.7k
Steven A. Gabriel United States 31 784 0.5× 410 0.5× 1.7k 2.5× 854 2.1× 113 0.3× 116 3.7k
Quande Qin China 35 1.5k 0.9× 421 0.5× 519 0.8× 806 2.0× 877 2.5× 118 3.9k
Werner Kristjanpoller Chile 21 1.3k 0.8× 825 1.1× 360 0.5× 127 0.3× 59 0.2× 82 2.1k
Chaoqun Ma China 24 1.6k 0.9× 515 0.7× 75 0.1× 551 1.4× 407 1.1× 147 2.7k

Countries citing papers authored by Kaijian He

Since Specialization
Citations

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

Fields of papers citing papers by Kaijian He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kaijian He

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

All Works

20 of 20 papers shown
1.
He, Kaijian, et al.. (2025). Prediction of Crude Oil Price using LLM: An Empirical Analysis. Procedia Computer Science. 266. 594–602.
2.
He, Kaijian, Lean Yu, & Yingchao Zou. (2024). Crude oil future price forecasting using pretrained transformer model. Procedia Computer Science. 242. 288–293. 2 indexed citations
3.
He, Kaijian, et al.. (2024). Leveraging large language models for daily tourist demand forecasting. Current Issues in Tourism. 29(2). 292–308. 3 indexed citations
4.
Tso, Kwok Fai, et al.. (2023). Quantum Optimized Cost Based Feature Selection and Credit Scoring for Mobile Micro-financing. Computational Economics. 63(2). 919–950. 4 indexed citations
5.
He, Kaijian, et al.. (2023). Financial Time Series Forecasting with the Deep Learning Ensemble Model. Mathematics. 11(4). 1054–1054. 64 indexed citations
6.
Zou, Yingchao & Kaijian He. (2022). Forecasting Crude Oil Risk Using a Multivariate Multiscale Convolutional Neural Network Model. Mathematics. 10(14). 2413–2413. 5 indexed citations
7.
He, Kaijian, Kwok Fai Tso, Yingchao Zou, & Jia Liu. (2018). Crude oil risk forecasting: New evidence from multiscale analysis approach. Energy Economics. 76. 574–583. 33 indexed citations
8.
Zhu, Bangzhu, et al.. (2018). A novel multiscale nonlinear ensemble leaning paradigm for carbon price forecasting. Energy Economics. 70. 143–157. 190 indexed citations
9.
Wang, Gang‐Jin, Chi Xie, Kaijian He, & H. Eugene Stanley. (2017). Extreme risk spillover network: application to financial institutions. Quantitative Finance. 17(9). 1417–1433. 208 indexed citations
10.
Wang, Xuan, et al.. (2015). EMD Copula based Value at Risk Estimates for Electricity Markets. Procedia Computer Science. 55. 1318–1324. 7 indexed citations
11.
Zou, Yingchao, Lean Yu, & Kaijian He. (2015). Estimating Portfolio Value at Risk in the Electricity Markets Using an Entropy Optimized BEMD Approach. Entropy. 17(7). 4519–4532. 6 indexed citations
12.
He, Kaijian, Lean Yu, & Ling Tang. (2015). Electricity price forecasting with a BED (Bivariate EMD Denoising) methodology. Energy. 91. 601–609. 43 indexed citations
13.
Li, Xia, Kaijian He, Kin Keung Lai, & Yingchao Zou. (2014). Forecasting Crude Oil Price with Multiscale Denoising Ensemble Model. Mathematical Problems in Engineering. 2014(1). 11 indexed citations
14.
Tang, Ling, Lean Yu, & Kaijian He. (2014). A novel data-characteristic-driven modeling methodology for nuclear energy consumption forecasting. Applied Energy. 128. 1–14. 63 indexed citations
15.
Lai, Kin Keung, et al.. (2013). Modeling Exchange Traded Funds Portfolio Using Optimization Model. 201–205. 3 indexed citations
16.
He, Kaijian, et al.. (2013). Agent-Based Simulation Approach for Managing Communicative Competence in Public Emergence Event. 12. 96–100. 1 indexed citations
17.
Zhao, Yang, Lean Yu, & Kaijian He. (2013). A Compressed Sensing-Based Denoising Approach in Crude Oil Price Forecasting. 1. 147–150. 2 indexed citations
18.
He, Kaijian, et al.. (2012). Portfolio Value at Risk Estimate for Crude Oil Markets: A Multivariate Wavelet Denoising Approach. Energies. 5(4). 1018–1043. 17 indexed citations
19.
Tse, Chi K., et al.. (2008). Detecting stock market fluctuation from stock network structure variation. PolyU Institutional Research Archive (Hong Kong Polytechnic University). 2 indexed citations
20.
He, Kaijian, Chi Xie, & Kin Keung Lai. (2008). Multi Scale Nonlinear Ensemble Model for Foreign Exchange Rate Prediction. 55. 43–47. 4 indexed citations

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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