Jian Bi

1.9k total citations
89 papers, 1.3k citations indexed

About

Jian Bi is a scholar working on Food Science, Statistics and Probability and Social Psychology. According to data from OpenAlex, Jian Bi has authored 89 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 70 papers in Food Science, 22 papers in Statistics and Probability and 21 papers in Social Psychology. Recurrent topics in Jian Bi's work include Sensory Analysis and Statistical Methods (70 papers), Color perception and design (19 papers) and Multisensory perception and integration (13 papers). Jian Bi is often cited by papers focused on Sensory Analysis and Statistical Methods (70 papers), Color perception and design (19 papers) and Multisensory perception and integration (13 papers). Jian Bi collaborates with scholars based in United States, China and South Korea. Jian Bi's co-authors include Daniel M. Ennis, Michael O’Mahony, Carla Kuesten, Michael O’Mahony, Bernhard A. Schrefler, H. W. Zhang, Julia Chung, Herbert L. Meiselman, Hye-Seong Lee and Yaohua Feng and has published in prestigious journals such as Scientific Reports, Pattern Recognition and International Journal for Numerical Methods in Engineering.

In The Last Decade

Jian Bi

81 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jian Bi United States 21 847 408 208 181 170 89 1.3k
Michael Meyners Germany 16 1.0k 1.2× 476 1.2× 209 1.0× 242 1.3× 214 1.3× 47 1.3k
Daniel M. Ennis United States 23 1.3k 1.5× 802 2.0× 426 2.0× 290 1.6× 183 1.1× 83 1.8k
Ian Wakeling United Kingdom 18 888 1.0× 438 1.1× 118 0.6× 146 0.8× 258 1.5× 29 1.5k
Michael O’Mahony United States 28 1.6k 1.9× 1.1k 2.8× 566 2.7× 615 3.4× 246 1.4× 90 2.3k
Garmt Dijksterhuis Netherlands 30 1.4k 1.7× 778 1.9× 446 2.1× 561 3.1× 550 3.2× 73 2.7k
Ingunn Berget Norway 19 299 0.4× 201 0.5× 67 0.3× 77 0.4× 159 0.9× 63 1.1k
Michael O’Mahony United States 35 2.5k 3.0× 1.9k 4.6× 692 3.3× 912 5.0× 559 3.3× 107 3.6k
D. Valentin France 9 437 0.5× 103 0.3× 68 0.3× 54 0.3× 40 0.2× 11 862
Joachim Kunert Germany 19 151 0.2× 65 0.2× 25 0.1× 36 0.2× 50 0.3× 81 1.2k
Véronique Cariou France 16 193 0.2× 135 0.3× 27 0.1× 33 0.2× 54 0.3× 36 537

Countries citing papers authored by Jian Bi

Since Specialization
Citations

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

Fields of papers citing papers by Jian Bi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jian Bi

This figure shows the co-authorship network connecting the top 25 collaborators of Jian Bi. A scholar is included among the top collaborators of Jian Bi 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 Jian Bi. Jian Bi 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.
Bi, Jian, et al.. (2025). Leaning geometrical diffusion network via power spherical distribution for point clouds generation. Pattern Recognition. 174. 112957–112957.
2.
3.
Bi, Jian & Carla Kuesten. (2025). Product effect size estimation and performance accuracy (validity and reliability) assessment for CATA and TCATA data. Food Quality and Preference. 127. 105441–105441. 1 indexed citations
4.
Bi, Jian & Carla Kuesten. (2024). Thurstonian Models for the Duo‐Trio and Its Variants. Journal of Sensory Studies. 39(5). 1 indexed citations
5.
Bi, Jian & Carla Kuesten. (2023). Type I error, testing power, and predicting precision based on the GLM and LM models for CATA data--Further discussion with M. Meyners and A. Hasted. Food Quality and Preference. 106. 104806–104806. 4 indexed citations
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Bi, Jian, et al.. (2023). A method based on interpretable machine learning for recognizing the intensity of human engagement intention. Scientific Reports. 13(1). 2537–2537. 3 indexed citations
8.
Bi, Jian. (2023). The methods of Tetrads, Hexads, and Octads: A type of more powerful sensory discrimination methods. Food Quality and Preference. 108. 104879–104879. 3 indexed citations
9.
Bi, Jian, Guo Zhou, Yongquan Zhou, Qifang Luo, & Wu Deng. (2022). Artificial Electric Field Algorithm with Greedy State Transition Strategy for Spherical Multiple Traveling Salesmen Problem. International Journal of Computational Intelligence Systems. 15(1). 24 indexed citations
10.
Bi, Jian, Yongquan Zhou, Zhonghua Tang, & Qifang Luo. (2021). Artificial electric field algorithm with inertia and repulsion for spherical minimum spanning tree. Applied Intelligence. 52(1). 195–214. 13 indexed citations
11.
Bi, Jian, Carla Kuesten, Hye-Seong Lee, & Michael O’Mahony. (2017). Paired versions of various sensory discrimination forced-choice methods and the same-different area theorem. Food Quality and Preference. 63. 97–106. 9 indexed citations
12.
Bi, Jian. (2015). Sensory Discrimination Tests and Measurements. 28 indexed citations
13.
Kuesten, Carla & Jian Bi. (2015). Risk Assessment of Negative Sensory Effects in Product Development Using the Benchmark Dose (BMD) Methodology for Continuous Data. Journal of Sensory Studies. 30(2). 128–135. 1 indexed citations
14.
Bi, Jian & Carla Kuesten. (2012). Intraclass Correlation Coefficient (ICC): A Framework for Monitoring and Assessing Performance of Trained Sensory Panels and Panelists. Journal of Sensory Studies. 27(5). 352–364. 33 indexed citations
15.
Bi, Jian. (2010). Comments on D.M. Ennis’ presentation on equivalence testing. Food Quality and Preference. 21(3). 259–260. 6 indexed citations
16.
Bi, Jian. (2008). Computer-intensive methods for sensory data analysis, exemplified by Durbin’s rank test. Food Quality and Preference. 20(3). 195–202. 9 indexed citations
17.
Bi, Jian. (2005). COMMENTARY: THOUGHTS ON SUBJECTIVE MEASUREMENT, SENSORY METRICS AND USEFULNESS OF OUTCOMES. Journal of Sensory Studies. 20(4). 367–372. 1 indexed citations
18.
Bi, Jian. (2002). Statistical models for the degree of difference test. Food Quality and Preference. 13(1). 31–37. 6 indexed citations
19.
Bi, Jian & Daniel M. Ennis. (2001). THE POWER OF THE “ A” ‐“ NOT A” METHOD. Journal of Sensory Studies. 16(4). 343–359. 15 indexed citations
20.
Bi, Jian, et al.. (2000). Replicated difference and preference tests: how to account for inter-trial variation. Food Quality and Preference. 11(4). 269–273. 17 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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