J.Q. Fang

629 total citations
30 papers, 511 citations indexed

About

J.Q. Fang is a scholar working on Civil and Structural Engineering, Environmental Engineering and Control and Systems Engineering. According to data from OpenAlex, J.Q. Fang has authored 30 papers receiving a total of 511 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Civil and Structural Engineering, 16 papers in Environmental Engineering and 9 papers in Control and Systems Engineering. Recurrent topics in J.Q. Fang's work include Wind and Air Flow Studies (16 papers), Seismic Performance and Analysis (10 papers) and Seismic and Structural Analysis of Tall Buildings (8 papers). J.Q. Fang is often cited by papers focused on Wind and Air Flow Studies (16 papers), Seismic Performance and Analysis (10 papers) and Seismic and Structural Analysis of Tall Buildings (8 papers). J.Q. Fang collaborates with scholars based in Hong Kong, Australia and United States. J.Q. Fang's co-authors include Q.S. Li, A.P. Jeary, Dikai Liu, C. K. Wong, C. M. Tam, Junqi Tang, J. Chen, Yuhao Zhou, Zhenyu Liu and D.A. Paterson and has published in prestigious journals such as Cement and Concrete Research, Journal of Sound and Vibration and International Journal of Solids and Structures.

In The Last Decade

J.Q. Fang

28 papers receiving 475 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J.Q. Fang Hong Kong 13 391 198 118 82 61 30 511
Udo Peil Germany 11 148 0.4× 115 0.6× 77 0.7× 117 1.4× 42 0.7× 54 319
Sun Bing-nan China 10 199 0.5× 101 0.5× 130 1.1× 133 1.6× 53 0.9× 42 334
P Disney United Kingdom 8 216 0.6× 129 0.7× 144 1.2× 83 1.0× 22 0.4× 43 419
Yupeng Song China 11 129 0.3× 137 0.7× 56 0.5× 107 1.3× 31 0.5× 24 367
Dong-Woo Seo South Korea 11 298 0.8× 136 0.7× 31 0.3× 58 0.7× 32 0.5× 42 423
Shuguo Liang China 12 228 0.6× 362 1.8× 158 1.3× 271 3.3× 21 0.3× 30 519
Aitor Baldomir Spain 14 329 0.8× 93 0.5× 44 0.4× 106 1.3× 76 1.2× 47 480
Øyvind Wiig Petersen Norway 13 303 0.8× 77 0.4× 71 0.6× 89 1.1× 55 0.9× 28 405
Henrik Stensgaard Toft Denmark 12 224 0.6× 157 0.8× 71 0.6× 42 0.5× 148 2.4× 26 492
José Ángel Jurado Spain 13 260 0.7× 272 1.4× 91 0.8× 304 3.7× 19 0.3× 52 521

Countries citing papers authored by J.Q. Fang

Since Specialization
Citations

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

Fields of papers citing papers by J.Q. Fang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J.Q. Fang. 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 J.Q. Fang. The network helps show where J.Q. Fang may publish in the future.

Co-authorship network of co-authors of J.Q. Fang

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

All Works

20 of 20 papers shown
1.
Fang, J.Q., Xian Yu, & Shuangshuang Xiong. (2024). Controller Dynamic Linearization Based Data-Driven Adaptive Control for a Vapor-Compression Refrigeration System. 1093–1098. 1 indexed citations
2.
Fang, J.Q., et al.. (2024). A reduced order finite element-informed surrogate model for approximating global high-fidelity simulation. Structural and Multidisciplinary Optimization. 67(12). 2 indexed citations
3.
Fang, J.Q., et al.. (2008). Analysis of a blast-loaded protective wall for bridge columns. Bridge Structures. 4(3-4). 135–141. 1 indexed citations
4.
Li, Q.S., J.Q. Fang, Dikai Liu, & Junqi Tang. (2003). Failure probability prediction of concrete components. Cement and Concrete Research. 33(10). 1631–1636. 24 indexed citations
5.
Fang, J.Q., et al.. (2000). Wind effects on a very tall building and wavelet analysis. Proceedings of the Institution of Civil Engineers - Structures and Buildings. 140(2). 151–159. 2 indexed citations
6.
Li, Q.S., et al.. (2000). Field measurements of wind and structural responses of a 70-storey tall building under typhoon conditions. The Structural Design of Tall Buildings. 9(5). 325–342. 12 indexed citations
7.
Li, Q.S., et al.. (2000). Field measurements of wind and structural responses of a 70‐storey tall building under typhoon conditions. The Structural Design of Tall Buildings. 9(5). 325–342. 1 indexed citations
8.
Li, Q.S., J.Q. Fang, & Dikai Liu. (2000). Exact Solutions for Free Vibration of Single-Degree-of-Freedom Systems with Nonperiodically Varying Parameters. Journal of Vibration and Control. 6(3). 449–462. 6 indexed citations
9.
Li, Q.S., et al.. (2000). Multi-level optimal design of buildings with active control under winds using genetic algorithms. Journal of Wind Engineering and Industrial Aerodynamics. 86(1). 65–86. 40 indexed citations
10.
Fang, J.Q., Q.S. Li, & A.P. Jeary. (1999). A new function transform technique for the solution of FEM dynamic equations. Computers & Structures. 70(3). 345–355. 2 indexed citations
11.
Li, Q.S., J.Q. Fang, & Dikai Liu. (1999). Evaluation of structural dynamic responses by stochastic finite element method. STRUCTURAL ENGINEERING AND MECHANICS. 8(5). 477–490. 9 indexed citations
12.
Li, Q.S., Dikai Liu, J.Q. Fang, A.P. Jeary, & C. K. Wong. (1999). Using neural networks to model and predict amplitude dependent damping in buildings. Wind and Structures. 2(1). 25–40. 15 indexed citations
13.
Fang, J.Q., Q.S. Li, A.P. Jeary, Dikai Liu, & C. K. Wong. (1999). Probabilistic characteristics of damping in buildings. Wind and Structures. 2(2). 127–131. 1 indexed citations
14.
Fang, J.Q., A.P. Jeary, Q.S. Li, & C. K. Wong. (1999). Random damping in buildings and its AR model. Journal of Wind Engineering and Industrial Aerodynamics. 79(1-2). 159–167. 29 indexed citations
15.
Fang, J.Q., Q.S. Li, A.P. Jeary, & Dikai Liu. (1999). Damping of tall buildings: its evaluation and probabilistic characteristics. The Structural Design of Tall Buildings. 8(2). 145–153. 47 indexed citations
16.
Li, Q.S., J.Q. Fang, & A.P. Jeary. (1998). Evaluation of 2D coupled galloping oscillations of slender structures. Computers & Structures. 66(5). 513–523. 23 indexed citations
17.
Li, Q.S., et al.. (1998). Vibration analysis of tall buildings with narrow rectangular plane configuration. The Structural Design of Tall Buildings. 7(4). 307–322. 4 indexed citations
18.
Fang, J.Q., Q.S. Li, A.P. Jeary, & C. K. Wong. (1998). Full Scale Measurements of Damping in a 78-storey Tall Building. Advances in Structural Engineering. 2(1). 41–48. 3 indexed citations
19.
Li, Q.S., J.Q. Fang, A.P. Jeary, & D.A. Paterson. (1998). Numerical Evaluation of Wind Loading on Buildings by CFD. HKIE Transactions. 5(3). 51–57. 1 indexed citations
20.
Li, Q.S., J.Q. Fang, & A.P. Jeary. (1998). Calculation of vertical dynamic characteristics of tall buildings with viscous damping. International Journal of Solids and Structures. 35(24). 3165–3176. 20 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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