Shuhua Mao

1.2k total citations
41 papers, 930 citations indexed

About

Shuhua Mao is a scholar working on Management Science and Operations Research, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Shuhua Mao has authored 41 papers receiving a total of 930 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Management Science and Operations Research, 10 papers in Artificial Intelligence and 10 papers in Electrical and Electronic Engineering. Recurrent topics in Shuhua Mao's work include Grey System Theory Applications (28 papers), Energy Load and Power Forecasting (9 papers) and Energy, Environment, Economic Growth (3 papers). Shuhua Mao is often cited by papers focused on Grey System Theory Applications (28 papers), Energy Load and Power Forecasting (9 papers) and Energy, Environment, Economic Growth (3 papers). Shuhua Mao collaborates with scholars based in China, United Kingdom and Australia. Shuhua Mao's co-authors include Xinping Xiao, Yuxiao Kang, Yonghong Zhang, Min Zhu, Jianghui Wen, Mingyun Gao, Yin Chen, Huan Guo, Xianpeng Wang and Ruyue Zhang and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and Energy.

In The Last Decade

Shuhua Mao

38 papers receiving 905 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shuhua Mao China 17 677 429 128 63 55 41 930
Huiming Duan China 21 972 1.4× 659 1.5× 266 2.1× 136 2.2× 110 2.0× 70 1.4k
Mehdi Khashei Iran 11 448 0.7× 320 0.7× 154 1.2× 177 2.8× 34 0.6× 19 755
Che-Jung Chang Taiwan 15 445 0.7× 257 0.6× 53 0.4× 122 1.9× 25 0.5× 35 738
Ismail Shah Pakistan 15 245 0.4× 419 1.0× 115 0.9× 98 1.6× 42 0.8× 75 872
Ratnadip Adhikari India 11 333 0.5× 273 0.6× 79 0.6× 161 2.6× 32 0.6× 14 592
Chih-Sheng Lin Taiwan 5 596 0.9× 356 0.8× 185 1.4× 167 2.7× 35 0.6× 13 814
Shuming Wang China 17 277 0.4× 107 0.2× 41 0.3× 42 0.7× 60 1.1× 49 789
Liang‐Ying Wei Taiwan 11 571 0.8× 251 0.6× 270 2.1× 233 3.7× 19 0.3× 27 825
Bernardo K. Pagnoncelli Chile 11 305 0.5× 117 0.3× 64 0.5× 28 0.4× 24 0.4× 39 699
Zahra Hajirahimi Iran 8 243 0.4× 208 0.5× 57 0.4× 112 1.8× 28 0.5× 16 445

Countries citing papers authored by Shuhua Mao

Since Specialization
Citations

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

Fields of papers citing papers by Shuhua Mao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shuhua Mao

This figure shows the co-authorship network connecting the top 25 collaborators of Shuhua Mao. A scholar is included among the top collaborators of Shuhua Mao 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 Shuhua Mao. Shuhua Mao 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.
2.
Huang, Zhuo, Shuhua Mao, & Yingjie Yang. (2024). MFFGD: An adaptive Caputo fractional-order gradient algorithm for DNN. Neurocomputing. 610. 128606–128606. 1 indexed citations
3.
Zhang, Ruyue, et al.. (2024). An arithmetic optimization algorithm with balanced diversity and convergence for multimodal multiobjective optimization. Swarm and Evolutionary Computation. 91. 101724–101724. 7 indexed citations
4.
Zhang, Ruyue, Shuhua Mao, & Yuxiao Kang. (2023). A novel traffic flow prediction model: Variable order fractional grey model based on an improved grey evolution algorithm. Expert Systems with Applications. 224. 119943–119943. 30 indexed citations
5.
He, Jing, Shuhua Mao, & Adolf K.Y. Ng. (2023). Neural computing for grey Richards differential equation to forecast traffic parameters with various time granularity. Neurocomputing. 549. 126394–126394. 8 indexed citations
6.
He, Jing, Shuhua Mao, & Yuxiao Kang. (2023). Augmented fractional accumulation grey model and its application: Class ratio and restore error perspectives. Mathematics and Computers in Simulation. 209. 220–247. 19 indexed citations
7.
Mao, Shuhua, et al.. (2023). Estimating China’s CO2 emissions under the influence of COVID-19 epidemic using a novel fractional multivariate nonlinear grey model. Environment Development and Sustainability. 26(7). 17037–17068. 2 indexed citations
8.
Li, Dongyao, et al.. (2023). Deep Residual Networks With a Flask-Like Channel Structure. IEEE Access. 12. 11711–11722.
9.
Zhang, Yonghong, Shuhua Mao, Yuxiao Kang, & Jianghui Wen. (2021). Fractal derivative fractional grey Riccati model and its application. Chaos Solitons & Fractals. 145. 110778–110778. 22 indexed citations
10.
11.
Mao, Shuhua, Min Zhu, Xianpeng Wang, & Xinping Xiao. (2020). Grey–Lotka–Volterra model for the competition and cooperation between third-party online payment systems and online banking in China. Applied Soft Computing. 95. 106501–106501. 66 indexed citations
12.
Mao, Shuhua, Xianpeng Wang, & Min Zhu. (2018). A new coupled ARMA-FGM model and its application in the internet third-party payment forecasting in China. Grey Systems Theory and Application. 8(2). 181–198. 3 indexed citations
13.
Xiao, Xinping, et al.. (2017). An improved seasonal rolling grey forecasting model using a cycle truncation accumulated generating operation for traffic flow. Applied Mathematical Modelling. 51. 386–404. 105 indexed citations
14.
Dong, Conglin, Chengqing Yuan, Xiuqin Bai, Xinping Yan, & Shuhua Mao. (2015). Reliability Evaluation of Marine Propulsion Shaft Based on Stress-Strength Interference Theory. 1 indexed citations
15.
Mao, Shuhua, Mingyun Gao, Xinping Xiao, & Min Zhu. (2015). A novel fractional grey system model and its application. Applied Mathematical Modelling. 40(7-8). 5063–5076. 145 indexed citations
16.
Wen, Jianghui, Xiangjun Wang, Shuhua Mao, & Xinping Xiao. (2015). Maximum likelihood estimation of McKean–Vlasov stochastic differential equation and its application. Applied Mathematics and Computation. 274. 237–246. 13 indexed citations
17.
Mao, Shuhua, Mingyun Gao, & Min Zhu. (2015). The impact of R&D on GDP study based on grey delay Lotka-Volterra model. Grey Systems Theory and Application. 5(1). 74–88. 4 indexed citations
18.
Xiao, Xinping, Huan Guo, & Shuhua Mao. (2013). The modeling mechanism, extension and optimization of grey GM (1, 1) model. Applied Mathematical Modelling. 38(5-6). 1896–1910. 61 indexed citations
19.
Mao, Shuhua, et al.. (2009). Partial ordered of interval grey number and its application. 11. 1070–1074. 1 indexed citations
20.
Xiao, Xinping, et al.. (2005). Research on ill-conditioned problem in grey prediction control model. 4. 2010–2013. 2 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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