Jiun-Yin Jian

1.7k total citations · 1 hit paper
5 papers, 1.2k citations indexed

About

Jiun-Yin Jian is a scholar working on Social Psychology, Surgery and Experimental and Cognitive Psychology. According to data from OpenAlex, Jiun-Yin Jian has authored 5 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Social Psychology, 2 papers in Surgery and 2 papers in Experimental and Cognitive Psychology. Recurrent topics in Jiun-Yin Jian's work include Human-Automation Interaction and Safety (3 papers), Cognitive Functions and Memory (2 papers) and Healthcare Technology and Patient Monitoring (2 papers). Jiun-Yin Jian is often cited by papers focused on Human-Automation Interaction and Safety (3 papers), Cognitive Functions and Memory (2 papers) and Healthcare Technology and Patient Monitoring (2 papers). Jiun-Yin Jian collaborates with scholars based in United States and Mexico. Jiun-Yin Jian's co-authors include Ann M. Bisantz, Colin G. Drury, Roman Taraban, Mario G. Beruvides, Richard Finger, Younho Seong, Sahil Shah and James Llinas and has published in prestigious journals such as Computers & Industrial Engineering, Proceedings of the Human Factors and Ergonomics Society Annual Meeting and Defense Technical Information Center (DTIC).

In The Last Decade

Jiun-Yin Jian

5 papers receiving 1.1k citations

Hit Papers

align trajectories

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.

Foundations for an Empirically Determined Scale of Trust in Automated Systems

2000 1.1k citations Jiun-Yin Jian, Ann M. Bisantz et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jiun-Yin Jian United States	4	914	239	210	188	157	5	1.2k
Regina A. Pomranky United States	3	498 0.5×	186 0.8×	84 0.4×	162 0.9×	101 0.6×	7	768
Poornima Madhavan United States	15	729 0.8×	249 1.0×	72 0.3×	214 1.1×	152 1.0×	56	1.2k
Linda Onnasch Germany	16	1.0k 1.1×	368 1.5×	83 0.4×	164 0.9×	219 1.4×	58	1.3k
Indramani L. Singh United States	8	780 0.9×	62 0.3×	129 0.6×	50 0.3×	237 1.5×	17	955
Deborah R. Billings United States	11	1.3k 1.4×	654 2.7×	47 0.2×	443 2.4×	132 0.8×	18	1.7k
Jean‐Michel Hoc France	21	793 0.9×	154 0.6×	264 1.3×	29 0.2×	176 1.1×	53	1.3k
Johannes Kraus Germany	20	800 0.9×	293 1.2×	270 1.3×	177 0.9×	17 0.1×	48	1.1k
Ericka Rovira United States	12	435 0.5×	69 0.3×	50 0.2×	51 0.3×	126 0.8×	38	631
Michael A. Rupp United States	12	352 0.4×	83 0.3×	60 0.3×	67 0.4×	68 0.4×	31	851
Erin K. Chiou United States	14	471 0.5×	211 0.9×	38 0.2×	147 0.8×	85 0.5×	61	804

Countries citing papers authored by Jiun-Yin Jian

Since Specialization

Citations

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

Fields of papers citing papers by Jiun-Yin Jian

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jiun-Yin Jian. 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 Jiun-Yin Jian. The network helps show where Jiun-Yin Jian may publish in the future.

Co-authorship network of co-authors of Jiun-Yin Jian

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

All Works

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5 of 5 papers shown

1.

Jian, Jiun-Yin, et al.. (2017). Preventing Human Error in Crane Operations: A Case Study of Organizational and Design Elements. Proceedings of the Human Factors and Ergonomics Society Annual Meeting. 61(1). 1695–1699. 3 indexed citations

2.

Beruvides, Mario G., et al.. (2007). Structuring group decision making in a web-based environment by using the nominal group technique. Computers & Industrial Engineering. 52(2). 277–295. 31 indexed citations

3.

Bisantz, Ann M., James Llinas, Younho Seong, Richard Finger, & Jiun-Yin Jian. (2000). Empirical Investigations of Trust-Related Systems Vulnerabilities in Aided, Adversarial Decision Making. Defense Technical Information Center (DTIC). 7 indexed citations

4.

Jian, Jiun-Yin, Ann M. Bisantz, & Colin G. Drury. (2000). Foundations for an Empirically Determined Scale of Trust in Automated Systems. 4(1). 53–71. 1100 indexed citations breakdown →

5.

Jian, Jiun-Yin, Ann M. Bisantz, & Colin G. Drury. (1998). Towards an Empirically Determined Scale of Trust in Computerized Systems: Distinguishing Concepts and Types of Trust. Proceedings of the Human Factors and Ergonomics Society Annual Meeting. 42(5). 501–505. 22 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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