Gang Ai

405 total citations
21 papers, 296 citations indexed

About

Gang Ai is a scholar working on Mechanics of Materials, Mechanical Engineering and Civil and Structural Engineering. According to data from OpenAlex, Gang Ai has authored 21 papers receiving a total of 296 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Mechanics of Materials, 6 papers in Mechanical Engineering and 4 papers in Civil and Structural Engineering. Recurrent topics in Gang Ai's work include Fatigue and fracture mechanics (4 papers), Remote Sensing and LiDAR Applications (3 papers) and Structural Integrity and Reliability Analysis (3 papers). Gang Ai is often cited by papers focused on Fatigue and fracture mechanics (4 papers), Remote Sensing and LiDAR Applications (3 papers) and Structural Integrity and Reliability Analysis (3 papers). Gang Ai collaborates with scholars based in China and Singapore. Gang Ai's co-authors include Xinqi Zheng, Dongya Liu, Peipei Wang, Yi Zhang, Yu Liu, Zhongke Bai, Abhisek Ukil, C. E. Campanella, Yinghua Liu and Yueheng Zhang and has published in prestigious journals such as Scientific Reports, Remote Sensing and Chaos Solitons & Fractals.

In The Last Decade

Gang Ai

21 papers receiving 294 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Gang Ai China	8	60	58	56	55	49	21	296
Mohamad Mazen Hittawe Saudi Arabia	13	58 1.0×	44 0.8×	22 0.4×	62 1.1×	126 2.6×	16	400
Darka Mioc Denmark	8	14 0.2×	34 0.6×	25 0.4×	3 0.1×	20 0.4×	46	286
Cafer Mert Yeşilkanat Türkiye	12	37 0.6×	15 0.3×	115 2.1×	114 2.1×	131 2.7×	41	506
Arjun Sil India	14	11 0.2×	18 0.3×	15 0.3×	13 0.2×	34 0.7×	75	649
Rabiu Aliyu Abdulkadir Nigeria	15	39 0.7×	338 5.8×	51 0.9×	20 0.4×	138 2.8×	26	675
Yalong Pi United States	6	2 0.0×	48 0.8×	52 0.9×	15 0.3×	46 0.9×	12	289
Dongya Liu China	7	67 1.1×	30 0.5×	127 2.3×	57 1.0×	58 1.2×	12	304
Mojtaba Mahsuli Iran	20	22 0.4×	79 1.4×	38 0.7×	3 0.1×	18 0.4×	53	1.0k
Yixin Yang China	12	7 0.1×	33 0.6×	22 0.4×	40 0.7×	35 0.7×	41	397
Krzysztof Pokonieczny Poland	10	17 0.3×	51 0.9×	42 0.8×		7 0.1×	42	306

Countries citing papers authored by Gang Ai

Since Specialization

Citations

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

Fields of papers citing papers by Gang Ai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gang Ai

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

Liu, Xinyue, et al.. (2024). A Scientific Investigation of the Shangfang Mountain Yunshui Cave in Beijing Based on LiDAR Technology. Land. 13(6). 895–895. 1 indexed citations

Zheng, Xinqi, et al.. (2022). Spatio-temporal evolution characteristics analysis and optimization prediction of urban green infrastructure: a case study of Beijing, China. Scientific Reports. 12(1). 10702–10702. 12 indexed citations

Ai, Gang, et al.. (2021). Prediction Model between Emulsified Water Fractions and Physicochemical Properties of Crude Oil Based on the Exergy Loss Rate. ACS Omega. 6(33). 21586–21594. 7 indexed citations

Wang, Peipei, et al.. (2020). Time series prediction for the epidemic trends of COVID-19 using the improved LSTM deep learning method: Case studies in Russia, Peru and Iran. Chaos Solitons & Fractals. 140. 110214–110214. 112 indexed citations

Zhang, Yueheng, et al.. (2018). Implementation of a Parallel GPU-Based Space-Time Kriging Framework. ISPRS International Journal of Geo-Information. 7(5). 193–193. 11 indexed citations

Liu, Yu, et al.. (2018). Generating a High-Precision True Digital Orthophoto Map Based on UAV Images. ISPRS International Journal of Geo-Information. 7(9). 333–333. 67 indexed citations

Zhang, Chunxiao, et al.. (2017). Design of a Model Base Framework for Model Environment Construction in a Virtual Geographic Environment (VGE). ISPRS International Journal of Geo-Information. 6(5). 145–145. 3 indexed citations

Liu, Xiuyan & Gang Ai. (2016). Does FDI Promote the Suburbanization of Chinese Cities?Empirical Evidence from the DMSP/OLS Satellite Night Light Data. Cai-jing yanjiu. 42(6). 52–62. 2 indexed citations

Ukil, Abhisek, Libo Wang, & Gang Ai. (2016). Leak detection in natural gas distribution pipeline using distributed temperature sensing. 417–422. 7 indexed citations

10.

Ai, Gang, et al.. (2016). Effect of the Joule-Thomson cooling on the leak-before-break approach. International Journal of Pressure Vessels and Piping. 139-140. 96–106. 2 indexed citations

11.

Campanella, C. E., Gang Ai, & Abhisek Ukil. (2016). Distributed fiber optics techniques for gas network monitoring. 646–651. 14 indexed citations

12.

Ai, Gang. (2016). Study on the Joule-Thomson Effect during Leakage in High Pressure Vessels. Journal of Mechanical Engineering. 52(4). 97–97. 5 indexed citations

13.

Ai, Gang, et al.. (2015). Study on heat transfer process during leaks of high pressure argon through a realistic crack. International Journal of Thermal Sciences. 99. 213–227. 6 indexed citations

14.

Ai, Gang, et al.. (2015). An experimental study on the Joule-Thomson cooling effect on metal temperatures in the vicinity of a leaking through-wall crack in a pressure vessel. NCSU Libraries Repository (North Carolina State University Libraries). 6 indexed citations

15.

Liu, Yinghua & Gang Ai. (2015). Study of Joule-Thomson Cooling Effect During Leakage With Application to Compressed Natural Gas Containment on Marine Vessels. 1 indexed citations

16.

Ai, Gang, et al.. (2015). Numerical Study on the Heat Transfer in the Leakage of Pressure Vessels Considering the Joule-Thomson Cooling Effect. Procedia Engineering. 130. 232–249. 3 indexed citations

17.

Ai, Gang, et al.. (2015). Effect of the Joule-Thomson Cooling on the Leak-Before-Break Approach. Procedia Engineering. 130. 1343–1358. 1 indexed citations

18.

Bai, Zhongke, et al.. (2014). Gradient Analysis of Urban Construction Land Expansion in the Chongqing Urban Area of China. Journal of Urban Planning and Development. 141(1). 32 indexed citations

19.

Zheng, Xinqi, et al.. (2013). A Building Reconstruction Method Integrated with LiDAR and DLG. 1 indexed citations

20.

Ai, Gang. (2010). Research on the Interface Issue of Fiber Reinforced Thermoplastic Resin Matrix Composites. 1 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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