Li‐Chung Chao

832 total citations
30 papers, 645 citations indexed

About

Li‐Chung Chao is a scholar working on Building and Construction, Management Science and Operations Research and Civil and Structural Engineering. According to data from OpenAlex, Li‐Chung Chao has authored 30 papers receiving a total of 645 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Building and Construction, 13 papers in Management Science and Operations Research and 5 papers in Civil and Structural Engineering. Recurrent topics in Li‐Chung Chao's work include BIM and Construction Integration (12 papers), Construction Project Management and Performance (11 papers) and Multi-Criteria Decision Making (6 papers). Li‐Chung Chao is often cited by papers focused on BIM and Construction Integration (12 papers), Construction Project Management and Performance (11 papers) and Multi-Criteria Decision Making (6 papers). Li‐Chung Chao collaborates with scholars based in Taiwan, United States and Singapore. Li‐Chung Chao's co-authors include Mirosław J. Skibniewski, Shi‐Jer Lou, Chih-Chao Chung, Chih‐Hong Chen, Chin‐Hui Chen, Luh‐Maan Chang, Min Liu, Kuo‐Hung Tseng, Ru-Chu Shih and Awad S. Hanna and has published in prestigious journals such as Sustainability, Automation in Construction and Journal of Construction Engineering and Management.

In The Last Decade

Li‐Chung Chao

30 papers receiving 579 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Li‐Chung Chao Taiwan 12 312 297 128 126 74 30 645
Garold D. Oberlender United States 10 441 1.4× 382 1.3× 116 0.9× 129 1.0× 63 0.9× 17 665
Farzad Khosrowshahi United Kingdom 13 539 1.7× 588 2.0× 148 1.2× 153 1.2× 95 1.3× 53 891
Hongqin Fan Hong Kong 16 309 1.0× 377 1.3× 117 0.9× 110 0.9× 74 1.0× 47 851
Wen‐der Yu Taiwan 20 379 1.2× 390 1.3× 199 1.6× 139 1.1× 78 1.1× 58 897
Oleg Kapliński Poland 17 458 1.5× 383 1.3× 96 0.8× 151 1.2× 65 0.9× 74 846
Liang Y. Liu United States 15 445 1.4× 422 1.4× 239 1.9× 83 0.7× 74 1.0× 41 869
Krzysztof Zima Poland 19 376 1.2× 589 2.0× 95 0.7× 224 1.8× 87 1.2× 71 943
Mahdi Safa United States 13 210 0.7× 222 0.7× 128 1.0× 95 0.8× 53 0.7× 44 565
François Grobler United States 11 461 1.5× 470 1.6× 198 1.5× 59 0.5× 59 0.8× 35 808
Eric Forcael Chile 13 197 0.6× 345 1.2× 64 0.5× 73 0.6× 125 1.7× 60 681

Countries citing papers authored by Li‐Chung Chao

Since Specialization
Citations

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

Fields of papers citing papers by Li‐Chung Chao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Li‐Chung Chao. 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 Li‐Chung Chao. The network helps show where Li‐Chung Chao may publish in the future.

Co-authorship network of co-authors of Li‐Chung Chao

This figure shows the co-authorship network connecting the top 25 collaborators of Li‐Chung Chao. A scholar is included among the top collaborators of Li‐Chung Chao 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 Li‐Chung Chao. Li‐Chung Chao 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.
Chao, Li‐Chung, et al.. (2019). Fuzzy Logic Model for Determining Minimum Overheads-Cum-Markup Rate. Journal of Construction Engineering and Management. 145(4). 9 indexed citations
2.
Chao, Li‐Chung, et al.. (2017). Neural-Network-Centered Approach to Determining Lower Limit of Combined Rate of Overheads and Markup. Journal of Construction Engineering and Management. 144(2). 8 indexed citations
3.
Chung, Chih-Chao, Li‐Chung Chao, Chin‐Hui Chen, & Shi‐Jer Lou. (2016). Evaluation of Interactive Website Design Indicators for e-Entrepreneurship. Sustainability. 8(4). 354–354. 9 indexed citations
4.
Chung, Chih-Chao, Li‐Chung Chao, Chih‐Hong Chen, & Shi‐Jer Lou. (2016). A Balanced Scorecard of Sustainable Management in the Taiwanese Bicycle Industry: Development of Performance Indicators and Importance Analysis. Sustainability. 8(6). 518–518. 26 indexed citations
5.
Chung, Chih-Chao, Li‐Chung Chao, & Shi‐Jer Lou. (2016). The Establishment of a Green Supplier Selection and Guidance Mechanism with the ANP and IPA. Sustainability. 8(3). 259–259. 28 indexed citations
6.
Chung, Chih-Chao, et al.. (2015). Benchmarking-based Analytic Network Process Model for Strategic Management. J. Inf. Hiding Multim. Signal Process.. 6. 59–73. 1 indexed citations
7.
Chao, Li‐Chung. (2013). Evaluation of Alternative Construction Sites with Analytic Network Process Method. ISAHP proceedings. 1 indexed citations
8.
Lou, Shi‐Jer, Chih-Chao Chung, Li‐Chung Chao, Kuo‐Hung Tseng, & Ru-Chu Shih. (2012). Construction of a Blended TRIZ Creative Learning Platform. International journal of engineering education. 28(1). 37–47. 5 indexed citations
9.
Chao, Li‐Chung, et al.. (2012). Fuzzy model for predicting project performance based on procurement experiences. Automation in Construction. 28. 71–81. 14 indexed citations
10.
Chao, Li‐Chung, et al.. (2009). A Model for Updating Project S-curve by Using Neural Networks and Matching Progress. Automation in Construction. 19(1). 84–91. 26 indexed citations
11.
Chao, Li‐Chung, et al.. (2009). Estimating Project S-Curves Using Polynomial Function and Neural Networks. Journal of Construction Engineering and Management. 135(3). 169–177. 37 indexed citations
12.
Chao, Li‐Chung & Min Liu. (2000). Fuzzy Neural Network Model for Mark-Up Estimation. Proceedings of the ... ISARC. 2 indexed citations
13.
Chao, Li‐Chung. (1998). Estimating Excavation Duration: OOP Plus NN Approach. National University of Singapore. 644–651. 1 indexed citations
14.
Chao, Li‐Chung & Mirosław J. Skibniewski. (1998). Neural Networks for Evaluating Construction Technology. National University of Singapore. 1–34. 3 indexed citations
15.
Chao, Li‐Chung & Mirosław J. Skibniewski. (1998). Fuzzy Logic for Evaluating Alternative Construction Technology. Journal of Construction Engineering and Management. 124(4). 297–304. 27 indexed citations
16.
Chao, Li‐Chung & Mirosław J. Skibniewski. (1995). DECISION ANALYSIS FOR NEW CONSTRUCTION TECHNOLOGY IMPLEMENTATION. Civil Engineering Systems. 12(1). 67–82. 6 indexed citations
17.
Chao, Li‐Chung & Mirosław J. Skibniewski. (1995). Neural Network Method of Estimating Construction Technology Acceptability. Journal of Construction Engineering and Management. 121(1). 130–142. 55 indexed citations
18.
Hanna, Awad S. & Li‐Chung Chao. (1994). Quantification of Cost Uncertainties Using Neural Network Technique. Computing in Civil Engineering. 41–46. 2 indexed citations
19.
Chao, Li‐Chung & Mirosław J. Skibniewski. (1994). Estimating Construction Productivity: Neural‐Network‐Based Approach. Journal of Computing in Civil Engineering. 8(2). 234–251. 104 indexed citations
20.
Chang, Luh‐Maan & Li‐Chung Chao. (1992). Trend in Local Area Network Utilization. Journal of Management in Engineering. 8(1). 27–39. 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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