Manrui Jiang

610 total citations
11 papers, 428 citations indexed

About

Manrui Jiang is a scholar working on Management Science and Operations Research, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Manrui Jiang has authored 11 papers receiving a total of 428 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Management Science and Operations Research, 5 papers in Electrical and Electronic Engineering and 4 papers in Artificial Intelligence. Recurrent topics in Manrui Jiang's work include Stock Market Forecasting Methods (7 papers), Energy Load and Power Forecasting (5 papers) and Complex Systems and Time Series Analysis (3 papers). Manrui Jiang is often cited by papers focused on Stock Market Forecasting Methods (7 papers), Energy Load and Power Forecasting (5 papers) and Complex Systems and Time Series Analysis (3 papers). Manrui Jiang collaborates with scholars based in China. Manrui Jiang's co-authors include Wei Chen, Zhensong Chen, Wei-Guo Zhang, Lifen Jia, Huilin Xu, Cheng Jiang, Xiang Li, Yanxin Liu, Xiaoli Hou and Wei Chen and has published in prestigious journals such as Pattern Recognition, Information Sciences and Neurocomputing.

In The Last Decade

Manrui Jiang

11 papers receiving 414 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Manrui Jiang China 9 255 162 125 104 81 11 428
Saman Haratizadeh Iran 9 358 1.4× 196 1.2× 128 1.0× 137 1.3× 86 1.1× 18 574
Zhensong Chen China 12 311 1.2× 175 1.1× 136 1.1× 187 1.8× 111 1.4× 21 580
Carlos Maté Spain 7 205 0.8× 152 0.9× 119 1.0× 125 1.2× 46 0.6× 10 408
Hsiao-Fen Hsiao China 7 222 0.9× 112 0.7× 131 1.0× 145 1.4× 60 0.7× 18 439
Erkam Güreşen Türkiye 3 508 2.0× 245 1.5× 244 2.0× 161 1.5× 143 1.8× 6 736
Dadabada Pradeepkumar India 4 196 0.8× 101 0.6× 94 0.8× 102 1.0× 33 0.4× 6 317
Laurent Callot Denmark 8 187 0.7× 78 0.5× 115 0.9× 63 0.6× 92 1.1× 18 450
Gholam Ali Raissi Ardali Iran 7 207 0.8× 133 0.8× 52 0.4× 99 1.0× 17 0.2× 9 362
Yingchao Zou China 12 177 0.7× 164 1.0× 219 1.8× 43 0.4× 41 0.5× 33 412
Jingtao Yao Canada 8 391 1.5× 128 0.8× 200 1.6× 203 2.0× 109 1.3× 17 629

Countries citing papers authored by Manrui Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Manrui Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Manrui Jiang

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

All Works

11 of 11 papers shown
1.
Chen, Wei, et al.. (2024). An improved deep temporal convolutional network for new energy stock index prediction. Information Sciences. 682. 121244–121244. 4 indexed citations
2.
Jiang, Manrui, Wei Chen, Huilin Xu, & Yanxin Liu. (2023). A novel interval dual convolutional neural network method for interval-valued stock price prediction. Pattern Recognition. 145. 109920–109920. 30 indexed citations
3.
Hou, Xiaoli, et al.. (2021). Identifying systemically important financial institutions in complex network: A case study of Chinese stock market. Emerging Markets Review. 50. 100836–100836. 19 indexed citations
5.
Jiang, Manrui, Weiyi Liu, Wen Xu, & Wei Chen. (2021). Improved multiobjective bat algorithm for the credibilistic multiperiod mean-VaR portfolio optimization problem. Soft Computing. 25(8). 6445–6467. 6 indexed citations
6.
Chen, Wei, Manrui Jiang, Wei-Guo Zhang, & Zhensong Chen. (2020). A novel graph convolutional feature based convolutional neural network for stock trend prediction. Information Sciences. 556. 67–94. 185 indexed citations
7.
Chen, Wei, et al.. (2020). The construction of multilayer stock network model. Physica A Statistical Mechanics and its Applications. 565. 125608–125608. 12 indexed citations
8.
Chen, Wei, Huilin Xu, Zhensong Chen, & Manrui Jiang. (2020). A novel method for time series prediction based on error decomposition and nonlinear combination of forecasters. Neurocomputing. 426. 85–103. 42 indexed citations
9.
Jiang, Manrui, Lifen Jia, Zhensong Chen, & Wei Chen. (2020). The two-stage machine learning ensemble models for stock price prediction by combining mode decomposition, extreme learning machine and improved harmony search algorithm. Annals of Operations Research. 309(2). 553–585. 79 indexed citations
10.
Chen, Wei, Manrui Jiang, Cheng Jiang, & Jun Zhang. (2019). Critical node detection problem for complex network in undirected weighted networks. Physica A Statistical Mechanics and its Applications. 538. 122862–122862. 16 indexed citations
11.
Chen, Wei, Manrui Jiang, & Cheng Jiang. (2019). Constructing a multilayer network for stock market. Soft Computing. 24(9). 6345–6361. 12 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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