Jeh‐Nan Pan

810 total citations
32 papers, 610 citations indexed

About

Jeh‐Nan Pan is a scholar working on Statistics, Probability and Uncertainty, Statistics and Probability and Strategy and Management. According to data from OpenAlex, Jeh‐Nan Pan has authored 32 papers receiving a total of 610 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Statistics, Probability and Uncertainty, 12 papers in Statistics and Probability and 8 papers in Strategy and Management. Recurrent topics in Jeh‐Nan Pan's work include Advanced Statistical Process Monitoring (21 papers), Advanced Statistical Methods and Models (11 papers) and Quality and Management Systems (8 papers). Jeh‐Nan Pan is often cited by papers focused on Advanced Statistical Process Monitoring (21 papers), Advanced Statistical Methods and Models (11 papers) and Quality and Management Systems (8 papers). Jeh‐Nan Pan collaborates with scholars based in Taiwan and United States. Jeh‐Nan Pan's co-authors include Chun‐Yi Lee, Sheau‐Chiann Chen, Charles J. Corbett, Jianbiao Pan, Tzu‐Chun Kuo, Chung-I Li, Chun‐Yi Lee and Lu Meng and has published in prestigious journals such as European Journal of Operational Research, Expert Systems with Applications and International Journal of Production Research.

In The Last Decade

Jeh‐Nan Pan

32 papers receiving 574 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jeh‐Nan Pan Taiwan	14	265	161	150	120	113	32	610
Wen-Kai Hsu Taiwan	16	148 0.6×	212 1.3×	203 1.4×	280 2.3×	28 0.2×	53	811
Soroush Avakh Darestani Iran	13	59 0.2×	239 1.5×	151 1.0×	147 1.2×	28 0.2×	62	546
Umut Asan Türkiye	12	138 0.5×	98 0.6×	228 1.5×	53 0.4×	21 0.2×	27	571
Mehmet Ekmekçioğlu Türkiye	6	201 0.8×	121 0.8×	463 3.1×	52 0.4×	15 0.1×	6	815
Ahmet Can Kutlu Türkiye	6	195 0.7×	108 0.7×	361 2.4×	69 0.6×	12 0.1×	8	608
Seyed Gholamreza Jalali Naini Iran	12	36 0.1×	188 1.2×	74 0.5×	115 1.0×	47 0.4×	26	478
Mengmeng Shan China	8	203 0.8×	159 1.0×	419 2.8×	36 0.3×	16 0.1×	10	733
İrem Uçal Sarı Türkiye	10	62 0.2×	119 0.7×	435 2.9×	33 0.3×	23 0.2×	31	688
Seyed Farid Mousavi Iran	5	79 0.3×	278 1.7×	642 4.3×	178 1.5×	17 0.2×	7	899

Countries citing papers authored by Jeh‐Nan Pan

Since Specialization

Citations

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

Fields of papers citing papers by Jeh‐Nan Pan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jeh‐Nan Pan. 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 Jeh‐Nan Pan. The network helps show where Jeh‐Nan Pan may publish in the future.

Co-authorship network of co-authors of Jeh‐Nan Pan

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

All Works

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20 of 20 papers shown

Pan, Jeh‐Nan, et al.. (2019). Detecting the process changes for multivariate nonlinear profile data. Quality and Reliability Engineering International. 35(6). 1890–1910. 9 indexed citations

Pan, Jeh‐Nan, et al.. (2018). Monitoring nonlinear profile data using support vector regression method. Quality and Reliability Engineering International. 35(1). 127–135. 16 indexed citations

Pan, Jeh‐Nan, et al.. (2016). A new approach to detecting the process changes for multistage systems. Expert Systems with Applications. 62. 293–301. 11 indexed citations

Pan, Jeh‐Nan, et al.. (2015). Determining the optimal allocation of parameters for multivariate measurement system analysis. Expert Systems with Applications. 42(20). 7036–7045. 8 indexed citations

Pan, Jeh‐Nan, et al.. (2015). New multivariate process capability indices for measuring the performance of multivariate processes subject to non-normal distributions. International Journal of Quality & Reliability Management. 33(1). 42–61. 9 indexed citations

Pan, Jeh‐Nan & Sheau‐Chiann Chen. (2013). A loss-function based approach for evaluating reliability improvement of an engineering design. Expert Systems with Applications. 40(14). 5703–5708. 8 indexed citations

Pan, Jeh‐Nan, et al.. (2013). Developing New Multivariate Process Capability Indices for Autocorrelated Data. Quality and Reliability Engineering International. 31(3). 431–444. 15 indexed citations

Pan, Jeh‐Nan & Sheau‐Chiann Chen. (2012). A new approach for assessing the correlated risk. Industrial Management & Data Systems. 112(9). 1348–1365. 14 indexed citations

Pan, Jeh‐Nan, et al.. (2012). Evolving the latent variable model as an environmental DEA technology. Omega. 41(2). 315–325. 12 indexed citations

10.

Chen, Sheau‐Chiann & Jeh‐Nan Pan. (2010). Determining Optimal Number of Samples for Constructing Multivariate Control Charts. Communications in Statistics - Simulation and Computation. 40(2). 216–228. 3 indexed citations

11.

Pan, Jeh‐Nan & Sheau‐Chiann Chen. (2010). New robust estimators for detecting non-random patterns in multivariate control charts: a simulation approach. Journal of Statistical Computation and Simulation. 81(3). 289–300. 10 indexed citations

12.

Pan, Jeh‐Nan, et al.. (2009). Optimization of engineering tolerance design using revised loss functions. Engineering Optimization. 41(2). 99–118. 15 indexed citations

13.

Pan, Jeh‐Nan & Chun‐Yi Lee. (2009). Development of a New Process Incapability Index with an Application to the Evaluation of Manufacturing Risk. Communication in Statistics- Theory and Methods. 38(8). 1133–1153. 2 indexed citations

14.

Pan, Jeh‐Nan & Chun‐Yi Lee. (2009). New capability indices for evaluating the performance of multivariate manufacturing processes. Quality and Reliability Engineering International. 26(1). 3–15. 50 indexed citations

15.

Pan, Jeh‐Nan, et al.. (2008). Finding and optimising the key factors for the multiple-response manufacturing process. International Journal of Production Research. 47(9). 2327–2344. 6 indexed citations

16.

Pan, Jeh‐Nan. (2006). Evaluating the Gauge Repeatability and Reproducibility for Different Industries. Quality & Quantity. 40(4). 499–518. 36 indexed citations

17.

Pan, Jeh‐Nan, et al.. (2005). The Economic Design of CUSUM Chart for Monitoring Environmental Performance. Asia Pacific Management Review. 10(2). 155–161. 7 indexed citations

18.

Pan, Jeh‐Nan. (2005). Comparative Analysis on an International Survey of ISO 9000 and ISO 14000 Certification. Asia Pacific Management Review. 10(1). 36–47. 5 indexed citations

19.

Pan, Jeh‐Nan. (2004). Determination of the optimal allocation of parameters for gauge repeatability and reproducibility study. International Journal of Quality & Reliability Management. 21(6). 672–682. 20 indexed citations

20.

Pan, Jeh‐Nan, et al.. (2002). A Study of Gauge Repeatability and Reproducibility for Measurement Systems. 9(2). 121–154. 4 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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