Cheng-Ju Kuo

1.3k total citations
15 papers, 348 citations indexed

About

Cheng-Ju Kuo is a scholar working on Molecular Biology, Artificial Intelligence and Industrial and Manufacturing Engineering. According to data from OpenAlex, Cheng-Ju Kuo has authored 15 papers receiving a total of 348 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 5 papers in Artificial Intelligence and 4 papers in Industrial and Manufacturing Engineering. Recurrent topics in Cheng-Ju Kuo's work include Biomedical Text Mining and Ontologies (7 papers), Topic Modeling (3 papers) and Industrial Vision Systems and Defect Detection (3 papers). Cheng-Ju Kuo is often cited by papers focused on Biomedical Text Mining and Ontologies (7 papers), Topic Modeling (3 papers) and Industrial Vision Systems and Defect Detection (3 papers). Cheng-Ju Kuo collaborates with scholars based in Taiwan, United States and Australia. Cheng-Ju Kuo's co-authors include Chun‐Nan Hsu, Florian Solzbacher, Yu-Ming Chang, Yu-Shi Lin, Geng‐Sheng Lin, Jules J. Magda, Shu‐Wen Chang, Kuan‐Ting Lin, I‐Fang Chung and Sabah U. Randhawa and has published in prestigious journals such as Bioinformatics, Sensors and Actuators B Chemical and BMC Bioinformatics.

In The Last Decade

Cheng-Ju Kuo

15 papers receiving 338 citations

Peers

Cheng-Ju Kuo

IME

Tingting Wu China

Zahra Mohammadi Iran

Gonzalo Macías-Bobadilla Mexico

M. Dors Germany

Muhammad Akmal Remli Malaysia

Prabhjot Singh India

Ehsan Khodadadi Iran

Ramón Gallardo–Caballero Spain

Tingting Wu China

Cheng-Ju Kuo

74 ×0.5

71 ×0.6

7 ×0.1

IME

27 ×0.5

10 ×0.3

Citations per year, relative to Cheng-Ju Kuo Cheng-Ju Kuo (= 1×) peers Tingting Wu

Countries citing papers authored by Cheng-Ju Kuo

Since Specialization

Citations

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

Fields of papers citing papers by Cheng-Ju Kuo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Cheng-Ju Kuo. 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 Cheng-Ju Kuo. The network helps show where Cheng-Ju Kuo may publish in the future.

Co-authorship network of co-authors of Cheng-Ju Kuo

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

All Works

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15 of 15 papers shown

Chen, Yi‐Chung, et al.. (2022). Development of Lightweight RBF-DRNN and Automated Framework for CNC Tool-Wear Prediction. IEEE Transactions on Instrumentation and Measurement. 71. 1–11. 17 indexed citations

Kuo, Cheng-Ju, Gwo-Jiun Horng, Mu‐En Wu, et al.. (2019). Deep-Learning-Based Defective Bean Inspection with GAN-Structured Automated Labeled Data Augmentation in Coffee Industry. Applied Sciences. 9(19). 4166–4166. 34 indexed citations

Kuo, Cheng-Ju, Chao‐Chun Chen, Ding-Chau Wang, et al.. (2019). Improving Defect Inspection Quality of Deep-Learning Network in Dense Beans by Using Hough Circle Transform for Coffee Industry. 798–805. 13 indexed citations

Kuo, Cheng-Ju, Tzu-Ting Chen, Min‐Hsiung Hung, et al.. (2019). A Labor-Efficient GAN-based Model Generation Scheme for Deep-Learning Defect Inspection among Dense Beans in Coffee Industry. 263–270. 9 indexed citations

Kuo, Cheng-Ju, et al.. (2017). The RFID-based real-time monitoring system and the management algorithm of RFIDs. 499–503. 1 indexed citations

Kuo, Cheng-Ju, et al.. (2017). Automatic machine status prediction in the era of Industry 4.0: Case study of machines in a spring factory. Journal of Systems Architecture. 81. 44–53. 24 indexed citations

Kuo, Cheng-Ju, Maurice HT Ling, & Chun‐Nan Hsu. (2011). Soft tagging of overlapping high confidence gene mention variants for cross-species full-text gene normalization. BMC Bioinformatics. 12(S8). S6–S6. 2 indexed citations

Hsu, Chun‐Nan, et al.. (2011). Learning Phenotype Mapping for Integrating Large Genetic Data. 19–27. 4 indexed citations

Kuo, Cheng-Ju, Maurice HT Ling, Kuan‐Ting Lin, & Chun‐Nan Hsu. (2009). BIOADI: a machine learning approach to identifying abbreviations and definitions in biological literature. BMC Bioinformatics. 10(S15). S7–S7. 44 indexed citations

10.

Lin, Geng‐Sheng, Shu‐Wen Chang, Cheng-Ju Kuo, Jules J. Magda, & Florian Solzbacher. (2008). Free swelling and confined smart hydrogels for applications in chemomechanical sensors for physiological monitoring. Sensors and Actuators B Chemical. 136(1). 186–195. 73 indexed citations

11.

Hsu, Chun‐Nan, et al.. (2008). Integrating high dimensional bi-directional parsing models for gene mention tagging. Bioinformatics. 24(13). i286–i294. 63 indexed citations

12.

Kuo, Cheng-Ju, Yu-Ming Chang, Kuan‐Ting Lin, et al.. (2007). Rich Feature Set, Unification of Bidirectional Parsing and Dictionary Filtering for High F-Score Gene Mention Tagging.. 28 indexed citations

13.

Chang, Yu-Ming, et al.. (2007). Analysis and Enhancement of Conditional Random Fields Gene Mention Taggers in BioCreative II Challenge Evaluation.. 5 indexed citations

14.

Kuo, Cheng-Ju, Yu-Ming Chang, Kuan‐Ting Lin, et al.. (2007). Exploring Match Scores to Boost Precision of Gene Normalization.. 3 indexed citations

15.

Randhawa, Sabah U. & Cheng-Ju Kuo. (1997). Evaluating scheduling heuristics for non-identical parallel processors. International Journal of Production Research. 35(4). 969–981. 28 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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