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The following bibliography contains all publications indexed in this database that are linked with this name as either author, editor or any other kind of contributor.

  1. Do, Jeong Yun / Kim, Doo Kie (2013): 콘크리트 피착체의 표면수율에 따른 단면복구용 고유동성 SBR 개질 모르타르의 부착특성 (Adhesive Properties of High Flowable SBR-modified Mortar for Concrete Patching Material Dependent on Surface Water Ratio of Concrete Substrate). In: Journal of the Korea Institute for Structural Maintenance and Inspection (한국구조물진단유지관리공학회 논문집), v. 17, n. 2 (March 2013).

    https://doi.org/10.11112/jksmi.2013.17.2.124

  2. Feng, Maria Q. / Kim, Doo Kie / Yi, Jin-Hak / Chen, Yangbo (2004): Baseline Models for Bridge Performance Monitoring. In: Journal of Engineering Mechanics (ASCE), v. 130, n. 5 (May 2004).

    https://doi.org/10.1061/(asce)0733-9399(2004)130:5(562)

  3. Kim, Jong In / Kim, Doo Kie (2002): Application of neural networks for estimation of concrete strength. In: KSCE Journal of Civil Engineering, v. 6, n. 4 (December 2002).

    https://doi.org/10.1007/bf02841997

  4. Kim, Doo Kie / Kim, Dong Hyawn / Chang, Seong Kyu / Chang, Sang Kil (2007): Modified probabilistic neural network considering heterogeneous probabilistic density functions in the design of breakwater. In: KSCE Journal of Civil Engineering, v. 11, n. 2 (March 2007).

    https://doi.org/10.1007/bf02823849

  5. Kim, Doo Kie / Kim, Jong-In / Feng, Maria Q. (2001): Instrumentation of bridges for structural health monitoring. In: KSCE Journal of Civil Engineering, v. 5, n. 3 (September 2001).

    https://doi.org/10.1007/bf02830656

  6. Kim, Jong-In / Kim, Doo Kie / Feng, Maria Q. / Yazdani, Frank (2004): Application of Neural Networks for Estimation of Concrete Strength. In: Journal of Materials in Civil Engineering (ASCE), v. 16, n. 3 (June 2004).

    https://doi.org/10.1061/(asce)0899-1561(2004)16:3(257)

  7. Kim, Doo Kie / Lee, Jong Jae / Lee, Jong Han / Chang, Seong Kyu (2005): Application of Probabilistic Neural Networks for Prediction of Concrete Strength. In: Journal of Materials in Civil Engineering (ASCE), v. 17, n. 3 (June 2005).

    https://doi.org/10.1061/(asce)0899-1561(2005)17:3(353)

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