Chieh-Jen Wang

2.3k total citations · 2 hit papers
19 papers, 1.7k citations indexed

About

Chieh-Jen Wang is a scholar working on Information Systems, Critical Care and Intensive Care Medicine and Artificial Intelligence. According to data from OpenAlex, Chieh-Jen Wang has authored 19 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Information Systems, 5 papers in Critical Care and Intensive Care Medicine and 4 papers in Artificial Intelligence. Recurrent topics in Chieh-Jen Wang's work include Web Data Mining and Analysis (6 papers), Information Retrieval and Search Behavior (6 papers) and Cardiac Arrest and Resuscitation (4 papers). Chieh-Jen Wang is often cited by papers focused on Web Data Mining and Analysis (6 papers), Information Retrieval and Search Behavior (6 papers) and Cardiac Arrest and Resuscitation (4 papers). Chieh-Jen Wang collaborates with scholars based in Taiwan, Japan and Canada. Chieh-Jen Wang's co-authors include Cheng-Lung Huang, Mu‐Chen Chen, Hsin‐Hsi Chen, Chao‐Hsien Chen, Kevin Lin, Ming-Feng Tsai, Ya‐Hui Wang, Chang-Yi Lin, Fang‐Ju Sun and Cicero Lee‐Tian Chang and has published in prestigious journals such as Expert Systems with Applications, ACS Sensors and Journal of Clinical Medicine.

In The Last Decade

Chieh-Jen Wang

17 papers receiving 1.6k citations

Hit Papers

A GA-based feature selection and parameters optimizationf... 2005 2026 2012 2019 2005 2006 250 500 750 1000
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. A GA-based feature selection and parameters optimizationfor support vector machines
    2005 1.1k citations Cheng-Lung Huang, Chieh-Jen Wang Expert Systems with Applications profile →
  2. Credit scoring with a data mining approach based on support vector machines
    2006 585 citations Cheng-Lung Huang, Mu‐Chen Chen et al. Expert Systems with Applications profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chieh-Jen Wang Taiwan 6 923 422 261 190 174 19 1.7k
Vicente García Mexico 23 1.4k 1.5× 638 1.5× 191 0.7× 71 0.4× 278 1.6× 62 2.2k
Cheng-Lung Huang Taiwan 13 1.4k 1.6× 450 1.1× 464 1.8× 322 1.7× 342 2.0× 21 3.0k
Dae-Ki Kang South Korea 14 569 0.6× 249 0.6× 137 0.5× 52 0.3× 180 1.0× 91 1.1k
Julio López Chile 17 708 0.8× 125 0.3× 351 1.3× 108 0.6× 101 0.6× 54 1.2k
Joaquín Abellán Spain 26 1.1k 1.2× 241 0.6× 89 0.3× 87 0.5× 319 1.8× 70 1.9k
Adnan Khashman Cyprus 21 527 0.6× 232 0.5× 496 1.9× 73 0.4× 69 0.4× 71 1.6k
Ari Visa Finland 22 579 0.6× 116 0.3× 614 2.4× 204 1.1× 116 0.7× 129 2.1k
Yanmin Sun Canada 7 1.7k 1.8× 191 0.5× 299 1.1× 94 0.5× 300 1.7× 10 2.5k
Lijuan Cao China 12 663 0.7× 125 0.3× 231 0.9× 192 1.0× 97 0.6× 25 1.9k
Sotirios Chatzis Cyprus 24 704 0.8× 53 0.1× 416 1.6× 135 0.7× 236 1.4× 86 1.8k

Countries citing papers authored by Chieh-Jen Wang

Since Specialization
Citations

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

Fields of papers citing papers by Chieh-Jen Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chieh-Jen Wang. 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 Chieh-Jen Wang. The network helps show where Chieh-Jen Wang may publish in the future.

Co-authorship network of co-authors of Chieh-Jen Wang

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

All Works

19 of 19 papers shown
1.
Chang, Wen‐Kuei, Chieh-Jen Wang, Tung‐Hu Tsai, et al.. (2024). The clinical application of traditional Chinese medicine NRICM101 in hospitalized patients with COVID-19. Expert Review of Anti-infective Therapy. 22(7). 587–595. 1 indexed citations
2.
Wang, Chieh-Jen, et al.. (2023). Optimal Timing of Targeted Temperature Management for Post-Cardiac Arrest Syndrome: Is Sooner Better?. Journal of Clinical Medicine. 12(7). 2628–2628.
3.
Chen, Chun‐Yen, Chao‐Hsien Chen, Wen‐Kuei Chang, et al.. (2023). Outcome prediction in hospitalized COVID-19 patients: Comparison of the performance of five severity scores. Frontiers in Medicine. 10. 1121465–1121465. 2 indexed citations
4.
5.
Chen, Chao‐Hsien, et al.. (2022). Clinical benefits of inhaled ciclesonide for hospitalized patients with COVID-19 infection: a retrospective study. BMC Pulmonary Medicine. 22(1). 368–368. 1 indexed citations
6.
Wu, Ching-Chou, Chieh-Jen Wang, Cicero Lee‐Tian Chang, et al.. (2022). Dissolved Oxygen-Sensing Chip Integrating an Open Container Connected with a Position-Raised Channel for Estimation of Cellular Mitochondrial Activity. ACS Sensors. 7(7). 1808–1818. 3 indexed citations
7.
8.
Wang, Chieh-Jen, et al.. (2019). Targeted Temperature Management for In-Hospital Cardiac Arrest: 6 Years of Experience. Therapeutic Hypothermia and Temperature Management. 10(3). 153–158. 9 indexed citations
9.
Wang, Chieh-Jen & Hsin‐Hsi Chen. (2013). Intent mining in search query logs for automatic search script generation. Knowledge and Information Systems. 39(3). 513–542. 4 indexed citations
10.
Wang, Chieh-Jen, et al.. (2012). Therapeutic hypothermia application vs standard support care in post resuscitated out-of-hospital cardiac arrest patients. The American Journal of Emergency Medicine. 31(2). 319–325. 16 indexed citations
11.
Wang, Chieh-Jen & Hsin‐Hsi Chen. (2012). Learning to predict the cost-per-click for your ad words. 2291–2294. 1 indexed citations
12.
13.
Wang, Chieh-Jen, et al.. (2012). Mining subtopics from different aspects for diversifying search results. Information Retrieval. 16(4). 452–483. 10 indexed citations
14.
Wang, Chieh-Jen, et al.. (2011). NTU Approaches to Subtopic Mining and Document Ranking at NTCIR-9 Intent Task.. NTCIR. 1 indexed citations
15.
Lin, Kevin, Chieh-Jen Wang, & Hsin‐Hsi Chen. (2011). Predicting Next Search Actions with Search Engine Query Logs. 227–234. 4 indexed citations
16.
Wang, Chieh-Jen & Hsin‐Hsi Chen. (2011). Intent Shift Detection Using Search Query Logs. 16. 61–76. 1 indexed citations
17.
Wang, Chieh-Jen, Kevin Lin, & Hsin‐Hsi Chen. (2010). Intent boundary detection in search query logs. 749–750. 4 indexed citations
18.
Huang, Cheng-Lung, Mu‐Chen Chen, & Chieh-Jen Wang. (2006). Credit scoring with a data mining approach based on support vector machines. Expert Systems with Applications. 33(4). 847–856. 585 indexed citations breakdown →
19.
Huang, Cheng-Lung & Chieh-Jen Wang. (2005). A GA-based feature selection and parameters optimizationfor support vector machines. Expert Systems with Applications. 31(2). 231–240. 1100 indexed citations breakdown →

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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