Daqing Gong

870 total citations
50 papers, 628 citations indexed

About

Daqing Gong is a scholar working on Building and Construction, Artificial Intelligence and Transportation. According to data from OpenAlex, Daqing Gong has authored 50 papers receiving a total of 628 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Building and Construction, 10 papers in Artificial Intelligence and 10 papers in Transportation. Recurrent topics in Daqing Gong's work include Transportation Planning and Optimization (7 papers), Underground infrastructure and sustainability (7 papers) and Electric Vehicles and Infrastructure (6 papers). Daqing Gong is often cited by papers focused on Transportation Planning and Optimization (7 papers), Underground infrastructure and sustainability (7 papers) and Electric Vehicles and Infrastructure (6 papers). Daqing Gong collaborates with scholars based in China and Slovenia. Daqing Gong's co-authors include Shifeng Liu, Mincong Tang, Zhenji Zhang, Long Ren, Hankun Zhang, Borut Buchmeister, Chao Zhang, Alan J. Horowitz, Yisong Li and Mao Yang and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and IEEE Transactions on Fuzzy Systems.

In The Last Decade

Daqing Gong

43 papers receiving 605 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daqing Gong China	15	140	128	119	97	73	50	628
Masoud Kavoosi United States	15	93 0.7×	46 0.4×	73 0.6×	103 1.1×	69 0.9×	17	736
Hugo Simão United States	15	117 0.8×	181 1.4×	182 1.5×	124 1.3×	20 0.3×	38	827
Olumide F. Abioye United States	16	101 0.7×	40 0.3×	80 0.7×	132 1.4×	83 1.1×	17	805
Ragheb Rahmaniani Iran	9	73 0.5×	179 1.4×	58 0.5×	102 1.1×	27 0.4×	14	788
Maria Nadia Postorino Italy	17	147 1.1×	58 0.5×	188 1.6×	356 3.7×	42 0.6×	62	812
Tianhu Deng China	13	88 0.6×	218 1.7×	40 0.3×	50 0.5×	30 0.4×	40	850
Majid Salari Iran	17	216 1.5×	50 0.4×	209 1.8×	65 0.7×	53 0.7×	47	832
Hongtao Lei China	14	175 1.3×	196 1.5×	184 1.5×	71 0.7×	28 0.4×	30	759
Bruno F. Santos Netherlands	19	161 1.1×	37 0.3×	124 1.0×	274 2.8×	65 0.9×	67	1.0k

Countries citing papers authored by Daqing Gong

Since Specialization

Citations

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

Fields of papers citing papers by Daqing Gong

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daqing Gong

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

Gong, Daqing, et al.. (2025). Abnormal Behavior Recognition Algorithm in Small Sample Scenarios for a Utility Tunnel Project Based on DCGAN. Journal of Construction Engineering and Management. 151(6).

Zhang, Zhenji, et al.. (2025). A hybrid learning framework for real-time fire dynamics prediction using diffusion models and spiking neural networks. Reliability Engineering & System Safety. 266. 111645–111645.

Gong, Daqing, et al.. (2025). Modeling expert risk assessments in utility tunnels with deep learning. Reliability Engineering & System Safety. 265. 111523–111523. 1 indexed citations

Wang, Yining, et al.. (2025). Mitigating domain shift problems in data-driven risk assessment models. Reliability Engineering & System Safety. 263. 111263–111263.

Zhang, Zhenji, et al.. (2025). A full domain decision model for robust risk control based on minimum linkage space and copula Bayesian networks. Reliability Engineering & System Safety. 260. 111046–111046.

Zhang, Zhenji, et al.. (2024). An improved failure mode and effect analysis method for group decision-making in utility tunnels construction project risk evaluation. Reliability Engineering & System Safety. 244. 109943–109943. 27 indexed citations

Li, Xueyan, et al.. (2024). Multiscenario deduction analysis for railway emergencies using knowledge metatheory and dynamic Bayesian networks. Reliability Engineering & System Safety. 255. 110675–110675. 7 indexed citations

Gong, Daqing, et al.. (2023). Target spectrum-based risk analysis model for utility tunnel O&M in multiple scenarios and its application. Reliability Engineering & System Safety. 242. 109777–109777. 5 indexed citations

Liu, Shifeng, et al.. (2023). A data aggregation-based spatiotemporal model for rail transit risk path forecasting. Reliability Engineering & System Safety. 239. 109530–109530. 9 indexed citations

10.

Zhang, Zhenji, et al.. (2023). A novel normal wiggly hesitant fuzzy multi-criteria group decision making method and its application to electric vehicle charging station location. Expert Systems with Applications. 223. 119876–119876. 31 indexed citations

11.

Liu, Shifeng, et al.. (2023). Risk assessment of utility tunnels through risk interaction-based deep learning. Reliability Engineering & System Safety. 241. 109626–109626. 23 indexed citations

12.

Yang, Mao, Shifeng Liu, & Daqing Gong. (2022). A Text Mining and Ensemble Learning Based Approach for Credit Risk Prediction. Tehnicki vjesnik - Technical Gazette. 30(1). 5 indexed citations

13.

Gong, Daqing, et al.. (2022). Dynamic coupling risk assessment model of utility tunnels based on multimethod fusion. Reliability Engineering & System Safety. 228. 108773–108773. 36 indexed citations

14.

Zhang, Qianqian, et al.. (2022). Forecasting Subway Passenger Flow for Station-Level Service Supply. Big Data. 12(6). 429–445. 5 indexed citations

15.

Zhang, Zhenji, et al.. (2022). A Deep Spatiotemporal Fuzzy Neural Network for Subway Passenger Flow Prediction With COVID-19 Search Engine Data. IEEE Transactions on Fuzzy Systems. 31(2). 394–406. 15 indexed citations

16.

Jiang, Yusheng, et al.. (2021). Analysis of the Risk Path of the Pipeline Corridor Based on System Dynamics. Shock and Vibration. 2021(1). 5 indexed citations

17.

Liu, Shifeng, et al.. (2020). Person anomaly detection-based videos surveillance system in urban integrated pipe gallery. Building Research & Information. 49(1). 55–68. 8 indexed citations

18.

Liu, Shifeng, et al.. (2019). Environmental Intelligent Control of Underground Integrated Pipe Gallery Based on Equipment Failure Rate. IEEE Access. 7. 160062–160071. 1 indexed citations

19.

Gong, Daqing, et al.. (2019). Preserving Location Privacy in Spatial Crowdsourcing Under Quality Control. IEEE Access. 7. 155851–155859. 12 indexed citations

20.

Tang, Mincong, et al.. (2017). Finding Key Factors Affecting the Locations of Electric Vehicle Charging Stations: a Simulation and ANOVA Approach. International Journal of Simulation Modelling. 16(3). 541–554. 40 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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