Pang‐jo Chun

1.3k total citations
47 papers, 922 citations indexed

About

Pang‐jo Chun is a scholar working on Civil and Structural Engineering, Mechanical Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Pang‐jo Chun has authored 47 papers receiving a total of 922 indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Civil and Structural Engineering, 12 papers in Mechanical Engineering and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Pang‐jo Chun's work include Infrastructure Maintenance and Monitoring (32 papers), Concrete Corrosion and Durability (18 papers) and Structural Health Monitoring Techniques (11 papers). Pang‐jo Chun is often cited by papers focused on Infrastructure Maintenance and Monitoring (32 papers), Concrete Corrosion and Durability (18 papers) and Structural Health Monitoring Techniques (11 papers). Pang‐jo Chun collaborates with scholars based in Japan, China and Sri Lanka. Pang‐jo Chun's co-authors include Tatsuro Yamane, Yu Maemura, Hong-Hu Chu, Shingo Asamoto, Shinichiro Okazaki, Riki Honda, Ji Dang, M. Ohga, Kazuaki Hashimoto and Masanori Suganuma and has published in prestigious journals such as SHILAP Revista de lepidopterología, Sensors and Automation in Construction.

In The Last Decade

Pang‐jo Chun

41 papers receiving 861 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pang‐jo Chun Japan 15 749 152 113 102 94 47 922
Mohamad Alipour United States 13 487 0.7× 106 0.7× 92 0.8× 89 0.9× 75 0.8× 44 671
Sumathi Poobal India 6 552 0.7× 151 1.0× 67 0.6× 82 0.8× 66 0.7× 11 735
Sandeep Sony Canada 7 699 0.9× 164 1.1× 72 0.6× 75 0.7× 75 0.8× 9 910
Tatsuro Yamane Japan 12 473 0.6× 89 0.6× 78 0.7× 83 0.8× 62 0.7× 16 606
Chul Min Yeum United States 15 736 1.0× 202 1.3× 219 1.9× 118 1.2× 111 1.2× 37 1.0k
Ju Huyan China 17 1.1k 1.4× 266 1.8× 49 0.4× 106 1.0× 138 1.5× 37 1.2k
Varun Kasireddy United States 7 724 1.0× 145 1.0× 162 1.4× 75 0.7× 113 1.2× 11 839
Rahmat Ali Canada 6 415 0.6× 152 1.0× 78 0.7× 63 0.6× 61 0.6× 11 570
Dejin Zhang China 14 520 0.7× 100 0.7× 100 0.9× 107 1.0× 112 1.2× 49 720
Hristina Georgieva Bulgaria 5 693 0.9× 151 1.0× 125 1.1× 69 0.7× 115 1.2× 10 807

Countries citing papers authored by Pang‐jo Chun

Since Specialization
Citations

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

Fields of papers citing papers by Pang‐jo Chun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pang‐jo Chun. 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 Pang‐jo Chun. The network helps show where Pang‐jo Chun may publish in the future.

Co-authorship network of co-authors of Pang‐jo Chun

This figure shows the co-authorship network connecting the top 25 collaborators of Pang‐jo Chun. A scholar is included among the top collaborators of Pang‐jo Chun 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 Pang‐jo Chun. Pang‐jo Chun 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.
Chun, Pang‐jo, et al.. (2025). A comparative study of projection-based vs. point-based point clouds segmentation for 3D bridge modeling. Structure and Infrastructure Engineering. 1–13. 1 indexed citations
2.
Chun, Pang‐jo, et al.. (2024). Implementation of explanatory texts output for bridge damage in a bridge inspection web system. Advances in Engineering Software. 195. 103706–103706. 11 indexed citations
3.
Asamoto, Shingo, et al.. (2023). Effect of high temperature at early ages on drying shrinkage and creep of concrete focusing on microcracking damage. Materials and Structures. 56(4). 5 indexed citations
4.
Yamane, Tatsuro, Pang‐jo Chun, & Riki Honda. (2022). Detecting and localising damage based on image recognition and structure from motion, and reflecting it in a 3D bridge model. Structure and Infrastructure Engineering. 20(4). 594–606. 22 indexed citations
5.
Suzuki, Makoto, et al.. (2021). BURIED PIPE POSITION ESTIMATION FROM GROUND PENETRATING RADAR DATA USING DEEP LEARNING. Journal of Japan Society of Civil Engineers Ser F3 (Civil Engineering Informatics). 77(1). 39–48. 1 indexed citations
6.
Yamane, Tatsuro, Pang‐jo Chun, & Tatsuya Watanabe. (2021). AUTOMATIC GENERATION OF DAMAGE DESCRIPTIONS FROM BRIDGE IMAGES USING DEEP LEARNING. Journal of Japan Society of Civil Engineers Ser F3 (Civil Engineering Informatics). 77(2). I_40–I_50. 1 indexed citations
7.
Yamane, Tatsuro, Pang‐jo Chun, & Riki Honda. (2021). EXTRACTING TEXTUAL INFORMATION FROM BRIDGE INSPECTION RECORDS USING DEEP LEARNING. 2(1). 18–25.
8.
Hashimoto, Shin, et al.. (2020). A PAVEMENT DETERIORATION FORECASTING MODEL IN EXPRESSWAYS USING DEEP LEARNING. Journal of Japan Society of Civil Engineers Ser D3 (Infrastructure Planning and Management). 75(6). I_547–I_554.
9.
Okazaki, Shinichiro, et al.. (2018). CRACK PROPERGATION MODEL OF CONCRETE BRIDGES IN SHIKOKU BASED DATA DRIVEN APPROACH. 74(2). I_107–I_118.
10.
Chun, Pang‐jo, et al.. (2018). EXPLORATORY SPATIAL DATA ANALYSIS FOR PAVEMENT DETERIORATION. Journal of Japan Society of Civil Engineers Ser E1 (Pavement Engineering). 74(3). I_95–I_103. 1 indexed citations
11.
Chun, Pang‐jo, et al.. (2017). DEEP LEARNING AND RANDOM FOREST BASED CRACK DETECTION FROM AN IMAGE OF CONCRETE SURFACE. Journal of Japan Society of Civil Engineers Ser F3 (Civil Engineering Informatics). 73(2). I_297–I_307. 6 indexed citations
12.
Chun, Pang‐jo, et al.. (2017). DEEP LEARNING BASED CRACK RATIO EVALUATION ON ASPHALT PAVEMENT FROM IMAGE TAKEN BY CAR-MOUNTED CAMERA. Journal of Japan Society of Civil Engineers Ser E1 (Pavement Engineering). 73(3). I_97–I_105. 10 indexed citations
13.
Chun, Pang‐jo & Kazuaki Hashimoto. (2015). DEVELOPMENT OF SEMI-AUTOMATIC ASPHALT PAVEMENT CRACK DETECTION SYSTEM USING IMAGE PROCESSING AND MACHINE LEARNING APPROACH. Journal of Japan Society of Civil Engineers Ser E1 (Pavement Engineering). 71(3). I_31–I_38. 3 indexed citations
14.
Hashimoto, Kazuaki, et al.. (2015). ONE APPROACH ON FORECASTING METHODS FOR POTHOLES TRIGGERED BY THE DETERIORATION OF THE COURSES DEEPER THAN BINDER COURSE OF POROUS ASPHALT PAVEMENT. Journal of Japan Society of Civil Engineers Ser E1 (Pavement Engineering). 70(3). I_17–I_24. 1 indexed citations
15.
Chun, Pang‐jo, et al.. (2015). DETECTION OF PAVEMENT CRACK FROM IMAGE BY DECISION TREE LEARNING. Journal of Japan Society of Civil Engineers Ser A2 (Applied Mechanics (AM)). 71(2). I_823–I_830. 1 indexed citations
16.
Chun, Pang‐jo, et al.. (2015). ASPHALT PAVEMENT CRACK DETECTION USING IMAGE PROCESSING AND NAÏVE BAYES BASED MACHINE LEARNING APPROACH. Journal of Japan Society of Civil Engineers Ser E1 (Pavement Engineering). 70(3). I_1–I_8. 11 indexed citations
17.
Chun, Pang‐jo, et al.. (2015). MACHINE LEARNING APPROACH FOR THE PREDICTION OF BUCKLING STRENGTH OF CORRODED STEEL PLATES. Journal of Japan Society of Civil Engineers Ser A2 (Applied Mechanics (AM)). 71(2). I_39–I_47. 1 indexed citations
18.
Chun, Pang‐jo, et al.. (2015). CRACK DETECTION FROM IMAGE USING RANDOM FOREST. Journal of Japan Society of Civil Engineers Ser F3 (Civil Engineering Informatics). 71(2). I_1–I_8. 8 indexed citations
19.
Chun, Pang‐jo, et al.. (2014). CRACK DETECTION FROM AN IMAGE OF CONCRETE SURFACE WITH CONSIDERING STATISTICAL AND GEOMETRICAL CHARACTERISTICS. Journal of Japan Society of Civil Engineers Ser F3 (Civil Engineering Informatics). 70(2). I_1–I_8. 4 indexed citations
20.
Ohga, M., et al.. (2012). Development of an Efficient Maintenance Strategy for Corroded Steel Bridge Infrastructures. Journal of Bridge Engineering. 18(6). 464–475. 10 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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