Ping Jiang

2.9k total citations · 1 hit paper
44 papers, 2.5k citations indexed

About

Ping Jiang is a scholar working on Electrical and Electronic Engineering, Management Science and Operations Research and Artificial Intelligence. According to data from OpenAlex, Ping Jiang has authored 44 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Electrical and Electronic Engineering, 21 papers in Management Science and Operations Research and 9 papers in Artificial Intelligence. Recurrent topics in Ping Jiang's work include Energy Load and Power Forecasting (30 papers), Grey System Theory Applications (17 papers) and Electric Power System Optimization (16 papers). Ping Jiang is often cited by papers focused on Energy Load and Power Forecasting (30 papers), Grey System Theory Applications (17 papers) and Electric Power System Optimization (16 papers). Ping Jiang collaborates with scholars based in China, Macao and United Kingdom. Ping Jiang's co-authors include Zhenkun Liu, Lifang Zhang, Xinsong Niu, Ranran Li, Jianzhou Wang, Hufang Yang, Xuejiao Ma, Jianzhou Wang, Hongmin Li and Yun Wang and has published in prestigious journals such as Applied Energy, Expert Systems with Applications and Energy.

In The Last Decade

Ping Jiang

44 papers receiving 2.4k 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.

A combined forecasting model for time series: Application to short-term wind speed forecasting

2019 253 citations Zhenkun Liu, Ping Jiang et al. Applied Energy profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ping Jiang China	26	1.8k	757	713	379	276	44	2.5k
Tong Niu China	27	1.8k 1.0×	816 1.1×	783 1.1×	404 1.1×	257 0.9×	47	2.7k
Pei Du China	23	1.7k 0.9×	754 1.0×	698 1.0×	381 1.0×	277 1.0×	35	2.4k
Wendong Yang China	30	2.2k 1.3×	969 1.3×	1.1k 1.5×	527 1.4×	363 1.3×	50	3.3k
Jujie Wang China	22	1.3k 0.7×	482 0.6×	933 1.3×	267 0.7×	222 0.8×	81	2.2k
Xinsong Niu China	23	1.2k 0.7×	520 0.7×	454 0.6×	260 0.7×	218 0.8×	27	1.6k
Yaoyao He China	24	1.2k 0.7×	492 0.6×	396 0.6×	204 0.5×	116 0.4×	76	1.9k
Xiwei Mi China	18	1.7k 1.0×	751 1.0×	351 0.5×	349 0.9×	381 1.4×	29	2.2k
Yun Wang China	24	1.6k 0.9×	658 0.9×	205 0.3×	232 0.6×	507 1.8×	104	2.6k
Ranran Li China	23	926 0.5×	356 0.5×	375 0.5×	397 1.0×	110 0.4×	56	1.7k
Lifang Zhang China	21	922 0.5×	422 0.6×	371 0.5×	235 0.6×	143 0.5×	44	1.4k

Countries citing papers authored by Ping Jiang

Since Specialization

Citations

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

Fields of papers citing papers by Ping Jiang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ping Jiang

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Jiang, Ping, et al.. (2025). Real-time extend depth of field imaging based on liquid lens and deblur-unet in automated optical inspection. Optics and Lasers in Engineering. 192. 109022–109022. 1 indexed citations

Jiang, Ping, Zhenkun Liu, Mohammad Zoynul Abedin, et al.. (2024). Profit-driven weighted classifier with interpretable ability for customer churn prediction. Omega. 125. 103034–103034. 41 indexed citations

Ding, Xuhui, et al.. (2024). Fiscal decentralization's impact on carbon emissions and its interactions with environmental regulations, economic development, and industrialization: Evidence from 288 cities in China. Environmental Impact Assessment Review. 110. 107681–107681. 22 indexed citations

Jiang, Ping, et al.. (2023). Enhancing wireless optical communication through multi-beam scanning and bandwidth optimization using an optical phased array. Optics Communications. 550. 129981–129981. 1 indexed citations

Liu, Zhenkun, Ping Jiang, Koen W. De Bock, et al.. (2023). Extreme gradient boosting trees with efficient Bayesian optimization for profit-driven customer churn prediction. Technological Forecasting and Social Change. 198. 122945–122945. 46 indexed citations

Jiang, Ping, Ying Nie, Jianzhou Wang, & Xiaojia Huang. (2022). Multivariable short-term electricity price forecasting using artificial intelligence and multi-input multi-output scheme. Energy Economics. 117. 106471–106471. 47 indexed citations

Liu, Zhenkun, Ping Jiang, Jianzhou Wang, & Lifang Zhang. (2021). Ensemble system for short term carbon dioxide emissions forecasting based on multi-objective tangent search algorithm. Journal of Environmental Management. 302(Pt A). 113951–113951. 87 indexed citations

Jiang, Ping, et al.. (2020). Silicon Optical Phased Array Side Lobe Suppression Based on an Improved Genetic Algorithm. T2D.3–T2D.3. 4 indexed citations

Jiang, Ping, Zhenkun Liu, Xinsong Niu, & Lifang Zhang. (2020). A combined forecasting system based on statistical method, artificial neural networks, and deep learning methods for short-term wind speed forecasting. Energy. 217. 119361–119361. 191 indexed citations

10.

Jiang, Ping, Ranran Li, Ningning Liu, & Yuyang Gao. (2020). A novel composite electricity demand forecasting framework by data processing and optimized support vector machine. Applied Energy. 260. 114243–114243. 110 indexed citations

11.

Li, Ranran, Ping Jiang, Hufang Yang, & Chen Li. (2020). A novel hybrid forecasting scheme for electricity demand time series. Sustainable Cities and Society. 55. 102036–102036. 57 indexed citations

12.

Li, Peizhi, Yingwei Peng, Ping Jiang, & Qingli Dong. (2019). A support vector machine based semiparametric mixture cure model. Computational Statistics. 35(3). 931–945. 15 indexed citations

13.

Liu, Zhenkun, Ping Jiang, Lifang Zhang, & Xinsong Niu. (2019). A combined forecasting model for time series: Application to short-term wind speed forecasting. Applied Energy. 259. 114137–114137. 253 indexed citations breakdown →

14.

Jiang, Ping, Qingli Dong, & Peizhi Li. (2017). A novel hybrid strategy for PM 2.5 concentration analysis and prediction. Journal of Environmental Management. 196. 443–457. 49 indexed citations

15.

Jiang, Ping, Feng Liu, Jianzhou Wang, & Yiliao Song. (2016). Cuckoo search-designated fractal interpolation functions with winner combination for estimating missing values in time series. Applied Mathematical Modelling. 40(23-24). 9692–9718. 23 indexed citations

16.

Jiang, Ping & Xuejiao Ma. (2016). A hybrid forecasting approach applied in the electrical power system based on data preprocessing, optimization and artificial intelligence algorithms. Applied Mathematical Modelling. 40(23-24). 10631–10649. 70 indexed citations

17.

Jiang, Ping, Feng Liu, & Yiliao Song. (2016). A hybrid forecasting model based on date-framework strategy and improved feature selection technology for short-term load forecasting. Energy. 119. 694–709. 104 indexed citations

18.

Jiang, Ping, et al.. (2015). Research and Application of a New Hybrid Forecasting Model Based on Genetic Algorithm Optimization: A Case Study of Shandong Wind Farm in China. Mathematical Problems in Engineering. 2015. 1–14. 8 indexed citations

19.

Wang, Jianzhou, Yun Wang, & Ping Jiang. (2015). The study and application of a novel hybrid forecasting model – A case study of wind speed forecasting in China. Applied Energy. 143. 472–488. 147 indexed citations

20.

Jiang, Ping, et al.. (2014). An Optimized Forecasting Approach Based on Grey Theory and Cuckoo Search Algorithm: A Case Study for Electricity Consumption in New South Wales. Abstract and Applied Analysis. 2014. 1–13. 11 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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