Shaohua Jiang

1.2k total citations
62 papers, 799 citations indexed

About

Shaohua Jiang is a scholar working on Building and Construction, Management Science and Operations Research and Artificial Intelligence. According to data from OpenAlex, Shaohua Jiang has authored 62 papers receiving a total of 799 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Building and Construction, 14 papers in Management Science and Operations Research and 13 papers in Artificial Intelligence. Recurrent topics in Shaohua Jiang's work include BIM and Construction Integration (22 papers), Construction Project Management and Performance (9 papers) and Infrastructure Maintenance and Monitoring (7 papers). Shaohua Jiang is often cited by papers focused on BIM and Construction Integration (22 papers), Construction Project Management and Performance (9 papers) and Infrastructure Maintenance and Monitoring (7 papers). Shaohua Jiang collaborates with scholars based in China, South Korea and United States. Shaohua Jiang's co-authors include Mirosław J. Skibniewski, Chengshuang Sun, Na Wang, Qingpeng Man, Liyin Shen, Jing Wu, Yelin Xu, John F. Y. Yeung, Zheng Yi Wu and Liping Jiang and has published in prestigious journals such as Sustainability, Neurocomputing and Applied Sciences.

In The Last Decade

Shaohua Jiang

55 papers receiving 761 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Shaohua Jiang China	14	445	234	175	138	136	62	799
Syed Saad Malaysia	16	291 0.7×	171 0.7×	184 1.1×	139 1.0×	104 0.8×	58	865
Hesam Hamledari United States	12	398 0.9×	130 0.6×	98 0.6×	203 1.5×	305 2.2×	14	878
Sandra Matarneh Jordan	14	391 0.9×	143 0.6×	56 0.3×	154 1.1×	132 1.0×	28	712
Christophe Cruz France	14	314 0.7×	101 0.4×	148 0.8×	84 0.6×	118 0.9×	65	685
Raimar J. Scherer Germany	16	504 1.1×	102 0.4×	149 0.9×	165 1.2×	189 1.4×	87	775
Frank Boukamp United States	13	587 1.3×	186 0.8×	176 1.0×	273 2.0×	318 2.3×	23	1.1k
François Grobler United States	11	470 1.1×	461 2.0×	67 0.4×	59 0.4×	70 0.5×	35	808
Chien–Ho Ko Taiwan	19	488 1.1×	360 1.5×	56 0.3×	186 1.3×	39 0.3×	59	1.0k
Robert Klinc Slovenia	10	263 0.6×	96 0.4×	68 0.4×	65 0.5×	53 0.4×	26	595

Countries citing papers authored by Shaohua Jiang

Since Specialization

Citations

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

Fields of papers citing papers by Shaohua Jiang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shaohua Jiang

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

Jiang, Shaohua, et al.. (2025). Enhancing Quality Management: Lightweight Detection and Risk Warning of Concrete Cracks and Rebar Exposure Using Improved YOLOv8. Journal of Construction Engineering and Management. 151(8). 1 indexed citations

Jiang, Shaohua, et al.. (2025). Unsafe Behaviors in Workers at Heights: A Spacetime-Based Coupling Analysis Method and Its Safety Implications. Journal of Construction Engineering and Management. 152(1).

Jiang, Shaohua, et al.. (2024). Building an Information Modeling-Based System for Automatically Generating the Assembly Sequence of Precast Concrete Components Using a Genetic Algorithm. Applied Sciences. 14(4). 1358–1358. 2 indexed citations

Jiang, Shaohua, et al.. (2024). VR for construction engineering and management: Review of user experience perspective. Internet of Things. 27. 101275–101275. 2 indexed citations

Jiang, Shaohua, et al.. (2024). Digital twin for sustainable development in building automation. Engineering Construction & Architectural Management. 33(2). 1506–1535.

Jiang, Shaohua, et al.. (2024). Construction quality problems prevention based on coupling relationship mining. Engineering Construction & Architectural Management. 33(2). 1362–1389. 1 indexed citations

Jiang, Shaohua, et al.. (2024). Adaptive information retrieval for enhanced building safety management leveraging BIM. Engineering Construction & Architectural Management. 33(1). 336–360.

Kim, Dahee, et al.. (2023). The Prediction of Fire Disaster Using BIM-Based Visualization for Expediting the Management Process. Sustainability. 15(4). 3719–3719. 9 indexed citations

Jiang, Shaohua, et al.. (2023). Semantic enrichment for BIM: Enabling technologies and applications. Advanced Engineering Informatics. 56. 101961–101961. 32 indexed citations

10.

Jiang, Shaohua, Zehong Liu, Xiaoping Lou, et al.. (2021). Efficient Verifiable Quantum Secret Sharing Schemes via Eight-Quantum-Entangled States. International Journal of Theoretical Physics. 60(5). 1757–1766. 12 indexed citations

11.

Sun, Chengshuang, et al.. (2020). Understanding the risk factors of BIM technology implementation in the construction industry: an interpretive structural modeling (ISM) approach. Engineering Construction & Architectural Management. 27(10). 3289–3308. 33 indexed citations

12.

Li, Shuang, et al.. (2019). Generative Adversarial User Model for Reinforcement Learning Based Recommendation System. International Conference on Machine Learning. 1052–1061. 23 indexed citations

13.

Li, Shuang, et al.. (2018). Neural Model-Based Reinforcement Learning for Recommendation. arXiv (Cornell University). 4 indexed citations

14.

Lyons, Damian M., et al.. (2017). Performance verification for robot missions in uncertain environments. Robotics and Autonomous Systems. 98. 89–104. 10 indexed citations

15.

Jiang, Shaohua & Jialin Wu. (2014). Research of Chinese Construction Project Document Classification Combined with the IFC Standard. 287–295. 1 indexed citations

16.

Jiang, Shaohua, Haiyan Zhang, & Jian Zhang. (2013). Research on BIM-based Construction Domain Text Information Management. Journal of Networks. 8(6). 8 indexed citations

17.

Jiang, Shaohua. (2009). Knowledge representation for construction project cases based on framework. 1 indexed citations

18.

Jiang, Shaohua & Weihua Gui. (2009). Monitoring model based on kernel principal component analysis and multiple support vector machines and its application. Systems Engineering - Theory & Practice. 3 indexed citations

19.

Jiang, Shaohua. (2009). Fault diagnosis method based on rough set and least squares support vector machine and its application. Journal of Central South University(Science and Technology). 4 indexed citations

20.

Jiang, Shaohua, Weihua Gui, Steven X. Ding, & Yongfang Xie. (2008). Direct identification of model-based fault detection system and its application to the process of lead-zinc Smelting Furnace. 24. 453–457. 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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