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

align trajectories

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.

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

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

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20 of 20 papers shown

#	Title	Journal	Authors	Indexed citations
1	Prediction of Crude Oil Price using LLM: An Empirical Analysis	Procedia Computer Science	Kaijian He, Zheng Peng et al.	0
2	Crude oil future price forecasting using pretrained transformer model	Procedia Computer Science	Kaijian He, Lean Yu et al.	2
3	Leveraging large language models for daily tourist demand forecasting	Current Issues in Tourism	Kaijian He, Don Wu et al.	3
4	Quantum Optimized Cost Based Feature Selection and Credit Scoring for Mobile Micro-financing	Computational Economics	Kwok Fai Tso, Kaijian He et al.	4
5	Financial Time Series Forecasting with the Deep Learning Ensemble Model	Mathematics	Kaijian He, Qian Yang et al.	64
6	Forecasting Crude Oil Risk Using a Multivariate Multiscale Convolutional Neural Network Model	Mathematics	Yingchao Zou, Kaijian He	5
7	Crude oil risk forecasting: New evidence from multiscale analysis approach	Energy Economics	Kaijian He, Kwok Fai Tso et al.	33
8	A novel multiscale nonlinear ensemble leaning paradigm for carbon price forecasting	Energy Economics	Bangzhu Zhu, Shunxin Ye et al.	190
9	Extreme risk spillover network: application to financial institutions	Quantitative Finance	Gang‐Jin Wang, Chi Xie et al.	208
10	EMD Copula based Value at Risk Estimates for Electricity Markets	Procedia Computer Science	Xuan Wang, Kaijian He et al.	7
11	Estimating Portfolio Value at Risk in the Electricity Markets Using an Entropy Optimized BEMD Approach	Entropy	Yingchao Zou, Lean Yu et al.	6
12	Electricity price forecasting with a BED (Bivariate EMD Denoising) methodology	Energy	Kaijian He, Lean Yu et al.	43
13	Forecasting Crude Oil Price with Multiscale Denoising Ensemble Model	Mathematical Problems in Engineering	Xia Li, Kaijian He et al.	11
14	A novel data-characteristic-driven modeling methodology for nuclear energy consumption forecasting	Applied Energy	Ling Tang, Lean Yu et al.	63
15	Modeling Exchange Traded Funds Portfolio Using Optimization Model		Kin Keung Lai, Kaijian He et al.	3
16	Agent-Based Simulation Approach for Managing Communicative Competence in Public Emergence Event		Kaijian He et al.	1
17	A Compressed Sensing-Based Denoising Approach in Crude Oil Price Forecasting		Yang Zhao, Lean Yu et al.	2
18	Portfolio Value at Risk Estimate for Crude Oil Markets: A Multivariate Wavelet Denoising Approach	Energies	Kaijian He, Kin Keung Lai et al.	17
19	Detecting stock market fluctuation from stock network structure variation	PolyU Institutional Research Archive (Hong Kong Polytechnic University)	Chi K. Tse, Kaijian He et al.	2
20	Multi Scale Nonlinear Ensemble Model for Foreign Exchange Rate Prediction		Kaijian He, Chi Xie et al.	4

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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