K. Wei

477 total citations
10 papers, 415 citations indexed

About

K. Wei is a scholar working on Electrical and Electronic Engineering, Materials Chemistry and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, K. Wei has authored 10 papers receiving a total of 415 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Electrical and Electronic Engineering, 4 papers in Materials Chemistry and 3 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in K. Wei's work include Phase-change materials and chalcogenides (4 papers), Photonic Crystal and Fiber Optics (4 papers) and Glass properties and applications (3 papers). K. Wei is often cited by papers focused on Phase-change materials and chalcogenides (4 papers), Photonic Crystal and Fiber Optics (4 papers) and Glass properties and applications (3 papers). K. Wei collaborates with scholars based in United States, Japan and South Korea. K. Wei's co-authors include E. Snitzer, D. Machewirth, George H. Sigel, Riddhi Datta, Bryce Samson, Siddharth Ramachandran, Roman Barankov, Tong Zhou, Jie You and Tian Jiang and has published in prestigious journals such as Optics Letters, Sustainability and Journal of Non-Crystalline Solids.

In The Last Decade

K. Wei

8 papers receiving 400 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
K. Wei United States	6	347	310	172	78	25	10	415
O. Toma Romania	12	304 0.9×	125 0.4×	199 1.2×	88 1.1×	26 1.0×	45	347
R. Praveena India	8	405 1.2×	362 1.2×	181 1.1×	57 0.7×	10 0.4×	16	420
Qunhuo Liu China	14	377 1.1×	315 1.0×	270 1.6×	50 0.6×	15 0.6×	21	411
Naruhito Sawanobori Japan	11	276 0.8×	208 0.7×	221 1.3×	85 1.1×	17 0.7×	27	379
M. Sharonov United States	11	265 0.8×	192 0.6×	174 1.0×	104 1.3×	24 1.0×	28	361
Hefang Hu China	11	336 1.0×	323 1.0×	270 1.6×	54 0.7×	10 0.4×	24	401
Tianfeng Xue China	13	238 0.7×	215 0.7×	286 1.7×	112 1.4×	9 0.4×	21	375
Shixun Dai China	13	450 1.3×	428 1.4×	338 2.0×	67 0.9×	10 0.4×	20	500
T.A.A. de Assumpção Brazil	14	388 1.1×	338 1.1×	220 1.3×	142 1.8×	64 2.6×	23	494
Juqing Di China	14	301 0.9×	165 0.5×	323 1.9×	142 1.8×	9 0.4×	25	396

Countries citing papers authored by K. Wei

Since Specialization

Citations

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

Fields of papers citing papers by K. Wei

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of K. Wei

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

All Works

Sort: Min cites: Since: Top N: Style:

10 of 10 papers shown

1.

Wei, K., et al.. (2025). Predicting task performance in robot-assisted surgery using physiological stress and subjective workload: a case study with interpretable machine learning. Frontiers in Human Neuroscience. 19. 1611524–1611524.

2.

Zhao, J., et al.. (2024). Evaluation of the Performance and Sustainability of Historical Cultural Symbols in Xuzhou’s City Brand Based on Grey System Theory and Fuzzy Evaluation Method. Sustainability. 16(23). 10528–10528.

3.

Jiang, Tian, et al.. (2019). Electron–phonon coupling in topological insulator Bi2Se3 thin films with different substrates. Chinese Optics Letters. 17(2). 20005–20005. 28 indexed citations

4.

Wei, K., et al.. (2013). Low-Loss, Single-Mode Propagation in Large-Mode-Area Leakage Channel Fiber from 1 to 2 μm. Journal of International Crisis and Risk Communication Research. 11. CM3I.4–CM3I.4. 2 indexed citations

5.

Barankov, Roman, K. Wei, Bryce Samson, & Siddharth Ramachandran. (2012). Resonant bend loss in leakage channel fibers. Optics Letters. 37(15). 3147–3147. 14 indexed citations

6.

Barankov, Roman, K. Wei, Bryce Samson, & Siddharth Ramachandran. (2012). Anomalous Bend Loss in Large-Mode Area Leakage Channel Fibers. 27. CM1N.3–CM1N.3. 1 indexed citations

7.

Wei, K., et al.. (2004). High-Performance Hermetic Optical Fiber for Downhole Applications. SPE Annual Technical Conference and Exhibition. 10 indexed citations

8.

Machewirth, D., et al.. (1997). Optical characterization of Pr3+ and Dy3+ doped chalcogenide glasses. Journal of Non-Crystalline Solids. 213-214. 295–303. 51 indexed citations

9.

Wei, K., et al.. (1995). Pr3+-doped GeGaS glasses for 1.3 μm optical fiber amplifiers. Journal of Non-Crystalline Solids. 182(3). 257–261. 169 indexed citations

10.

Wei, K., et al.. (1994). Spectroscopy of Dy^3+ in Ge–Ga–S glass and its suitability for 13-μm fiber-optical amplifier applications. Optics Letters. 19(12). 904–904. 140 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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