Jun Gao

1.6k total citations
49 papers, 1.3k citations indexed

About

Jun Gao is a scholar working on Electrical and Electronic Engineering, Materials Chemistry and Building and Construction. According to data from OpenAlex, Jun Gao has authored 49 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Electrical and Electronic Engineering, 18 papers in Materials Chemistry and 7 papers in Building and Construction. Recurrent topics in Jun Gao's work include High voltage insulation and dielectric phenomena (17 papers), Power Transformer Diagnostics and Insulation (16 papers) and Geothermal Energy Systems and Applications (5 papers). Jun Gao is often cited by papers focused on High voltage insulation and dielectric phenomena (17 papers), Power Transformer Diagnostics and Insulation (16 papers) and Geothermal Energy Systems and Applications (5 papers). Jun Gao collaborates with scholars based in China, United States and Denmark. Jun Gao's co-authors include Xu Zhang, Jun Liu, Jie Yang, Lijun Yang, Kuishan Li, Zhijian Liu, Ruijin Liao, Jian Hao, Jiefeng Liu and Guangya Jin and has published in prestigious journals such as Environmental Pollution, Applied Energy and Chemical Physics Letters.

In The Last Decade

Jun Gao

47 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jun Gao China	19	625	480	371	364	286	49	1.3k
Edward Fuentealba Chile	18	793 1.3×	345 0.7×	578 1.6×	140 0.4×	47 0.2×	67	1.4k
M.S. Abd-Elhady Egypt	21	1.0k 1.6×	373 0.8×	373 1.0×	123 0.3×	82 0.3×	66	1.8k
Aitor Marzo Chile	19	793 1.3×	331 0.7×	142 0.4×	45 0.1×	37 0.1×	74	1.2k
Runsheng Tang China	26	1.3k 2.0×	430 0.9×	512 1.4×	54 0.1×	117 0.4×	63	1.9k
Na Deng China	23	282 0.5×	184 0.4×	873 2.4×	103 0.3×	81 0.3×	67	1.6k
Cheng Xu China	27	312 0.5×	420 0.9×	1.3k 3.4×	171 0.5×	52 0.2×	78	1.8k
Yan He China	26	428 0.7×	497 1.0×	337 0.9×	333 0.9×	83 0.3×	127	1.9k
Lige Tong China	21	406 0.6×	339 0.7×	1.2k 3.2×	277 0.8×	52 0.2×	156	2.0k
Yong‐Le Nian China	26	1.1k 1.7×	153 0.3×	1.1k 3.1×	51 0.1×	163 0.6×	57	1.9k
Ali Hakkaki-Fard Iran	25	1.0k 1.6×	201 0.4×	965 2.6×	85 0.2×	197 0.7×	66	1.8k

Countries citing papers authored by Jun Gao

Since Specialization

Citations

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

Fields of papers citing papers by Jun Gao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Gao

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Gao. A scholar is included among the top collaborators of Jun Gao 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 Jun Gao. Jun Gao 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

Li, Xiaoming, et al.. (2024). Short-term power grid load forecasting based on optimized VMD and GA-BP. International Journal of Low-Carbon Technologies. 19. 980–986. 1 indexed citations

Jian, Shengqi, et al.. (2024). Study on Shear Strength of Soil–Root Systems of Different Vegetation Types. Plants. 13(21). 2963–2963. 4 indexed citations

Wang, Mingjun, Hui Wang, Zizhen Liu, et al.. (2024). Efficient Functional Safety Method for Gate-Level Fine-Grained Digital Circuits with ISO-26262. 1–6. 1 indexed citations

Zeng, Lingjie, Yuqing Chen, Bowen Du, et al.. (2022). Prediction of mould growth rate within building envelopes: development and validation of an improved model. Building Services Engineering Research and Technology. 44(1). 63–79. 2 indexed citations

Liu, Zhijian, et al.. (2019). On-site assessments on variations of PM2.5, PM10, CO2 and TVOC concentrations in naturally ventilated underground parking garages with traffic volume. Environmental Pollution. 247. 626–637. 33 indexed citations

Liu, Zhijian, Di Wu, Yuanwei Liu, et al.. (2019). Accuracy analyses and model comparison of machine learning adopted in building energy consumption prediction. Energy Exploration & Exploitation. 37(4). 1426–1451. 119 indexed citations

Yang, Lijun, et al.. (2017). Quantitative diagnosis of moisture content in oil‐paper condenser bushing insulation based on frequency domain spectroscopy and polarisation and depolarisation current. IET Generation Transmission & Distribution. 11(6). 1420–1426. 43 indexed citations

Gao, Jun, et al.. (2016). Condition diagnosis of transformer oil-paper insulation using dielectric response fingerprint characteristics. IEEE Transactions on Dielectrics and Electrical Insulation. 23(2). 1207–1218. 42 indexed citations

Liu, Jiefeng, et al.. (2015). Condition Evaluation for Aging State of Transformer Oil-paper Insulation Based on Time-frequency Domain Dielectric Characteristics. Electric Power Components and Systems. 43(7). 759–769. 18 indexed citations

10.

Liao, Ruijin, Jiefeng Liu, Lijun Yang, et al.. (2015). Extraction of Frequency Domain Dielectric Characteristic Parameter of Oil-paper Insulation for Transformer Condition Assessment. Electric Power Components and Systems. 43(5). 578–587. 12 indexed citations

11.

Liu, Xiao, et al.. (2015). Study on Influences and Elimination of Test Temperature on PDC Characteristic Spectroscopy of Oil-Paper Insulation System. Journal of Electrical Engineering and Technology. 10(3). 1107–1113. 8 indexed citations

12.

Wang, Youyuan, Jun Gao, Ruijin Liao, et al.. (2014). Investigation of characteristic parameters for condition evaluation of transformer oil-paper insulation using frequency domain spectroscopy. International Transactions on Electrical Energy Systems. 25(11). 2921–2932. 11 indexed citations

13.

Gao, Jun, et al.. (2014). Effect of temperature change mode on condition assessment of oil-paper insulation using Frequency Domain Spectroscopy. 5. 1–4. 1 indexed citations

14.

Gao, Jun. (2010). Study on the Influences of Thermal Imbalance Ratio on Soil Temperature Field under Different Arrangement Forms of Geothermal Heat Exchanger. Building Science. 1 indexed citations

15.

Liu, Jun, Xu Zhang, Jun Gao, & Jie Yang. (2009). Evaluation of heat exchange rate of GHE in geothermal heat pump systems. Renewable Energy. 34(12). 2898–2904. 89 indexed citations

16.

Gao, Jun, et al.. (2008). Thermal performance and ground temperature of vertical pile-foundation heat exchangers: A case study. Applied Thermal Engineering. 28(17-18). 2295–2304. 226 indexed citations

17.

Gao, Jun. (2004). High Performance Linear 288×4 CMOS Readout Integrated Circuit with Time-Delay-Integration. Acta Scicentiarum Naturalum Universitis Pekinesis. 1 indexed citations

18.

Li, Yuan, et al.. (2004). SERS Study on the Corrosion Inhibition of Poly(aspartic acid). 1 indexed citations

19.

Gao, Jun, et al.. (2003). Design of high performance CMOS linear readout integrated circuit. 3794. 607–610 Vol.1. 4 indexed citations

20.

Gao, Jun. (2001). The Circuit Loss Rate Analysis of Three-Phase Unbalanced Circuit. 3 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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