Y. Tie

478 total citations
11 papers, 409 citations indexed

About

Y. Tie is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering and Bioengineering. According to data from OpenAlex, Y. Tie has authored 11 papers receiving a total of 409 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Electrical and Electronic Engineering, 8 papers in Biomedical Engineering and 7 papers in Bioengineering. Recurrent topics in Y. Tie's work include Gas Sensing Nanomaterials and Sensors (11 papers), Analytical Chemistry and Sensors (7 papers) and Advanced Chemical Sensor Technologies (6 papers). Y. Tie is often cited by papers focused on Gas Sensing Nanomaterials and Sensors (11 papers), Analytical Chemistry and Sensors (7 papers) and Advanced Chemical Sensor Technologies (6 papers). Y. Tie collaborates with scholars based in China and Sudan. Y. Tie's co-authors include Shitu Pei, Rong Zhang, S.Y. Ma, Ting Han, Jicai Zhang, Guijin Yang, Ligang Ma, Xiao Li Xu, Xiaohui Xu and Shuyi Ma and has published in prestigious journals such as Sensors and Actuators B Chemical, Applied Surface Science and Ceramics International.

In The Last Decade

Y. Tie

11 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
Y. Tie China	10	355	246	214	135	55	11	409
Ke Tian China	8	309 0.9×	157 0.6×	133 0.6×	188 1.4×	67 1.2×	17	393
Kanika Anand India	5	307 0.9×	141 0.6×	141 0.7×	199 1.5×	76 1.4×	8	387
Yifei Bing China	10	469 1.3×	279 1.1×	285 1.3×	231 1.7×	65 1.2×	14	516
Xingping Ren China	9	313 0.9×	173 0.7×	167 0.8×	144 1.1×	58 1.1×	11	356
Ting Zhai China	9	524 1.5×	359 1.5×	360 1.7×	151 1.1×	64 1.2×	9	563
Shixiu Cao China	12	297 0.8×	145 0.6×	131 0.6×	171 1.3×	113 2.1×	21	385
Yu Yuan China	5	255 0.7×	137 0.6×	133 0.6×	106 0.8×	125 2.3×	8	341
Nam Gyu Cho South Korea	12	560 1.6×	219 0.9×	196 0.9×	336 2.5×	181 3.3×	19	613
Peilu Zhao China	10	350 1.0×	179 0.7×	186 0.9×	215 1.6×	80 1.5×	14	455
Nicolae Magariu Moldova	12	267 0.8×	126 0.5×	118 0.6×	124 0.9×	42 0.8×	20	308

Countries citing papers authored by Y. Tie

Since Specialization

Citations

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

Fields of papers citing papers by Y. Tie

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Y. Tie

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

All Works

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11 of 11 papers shown

1.

Han, Ting, Shuyi Ma, Xiao Li Xu, et al.. (2020). Rough SmFeO3 nanofibers as an optimization ethylene glycol gas sensor prepared by electrospinning. Materials Letters. 268. 127575–127575. 55 indexed citations

2.

Tie, Y., S.Y. Ma, Shitu Pei, et al.. (2020). Pr doped BiFeO3 hollow nanofibers via electrospinning method as a formaldehyde sensor. Sensors and Actuators B Chemical. 308. 127689–127689. 81 indexed citations

3.

Xu, Xiaoli, Shuyi Ma, Xiaohui Xu, et al.. (2020). Ultra-sensitive glycol sensing performance with rapid-recovery based on heterostructured ZnO-SnO2 hollow nanotube. Materials Letters. 273. 127967–127967. 32 indexed citations

4.

Ma, S.Y., et al.. (2019). Optimization ethanol detection performance manifested by SnS/SnS2 nanoparticles. Materials Letters. 258. 126783–126783. 42 indexed citations

5.

Tie, Y., Shuyi Ma, Shitu Pei, et al.. (2019). Formaldehyde sensing characteristics of hydrothermally synthesized Zn2SnO4 nanocubes. Materials Letters. 259. 126896–126896. 24 indexed citations

6.

Zhang, Rong, et al.. (2019). Highly sensitive formaldehyde gas sensors based on Ag doped Zn2SnO4/SnO2 hollow nanospheres. Materials Letters. 254. 178–181. 56 indexed citations

7.

Ma, Shuyi, et al.. (2019). Preparation, characterizaton and formaldehyde gas sensing properties of walnut-shaped BiFeO3 microspheres. Materials Letters. 246. 107–110. 26 indexed citations

8.

Ma, Shuyi, Guijin Yang, Rong Zhang, et al.. (2018). 3D SnS2 hierarchical micro-flowers synthesized by ZnSn(OH)6 for ultra-sensitive NH3 sensor. Materials Letters. 236. 600–603. 11 indexed citations

9.

Tie, Y., S.Y. Ma, Guijin Yang, et al.. (2018). Improved formaldehyde sensor of Zn2SnO4/SnO2 microcubes by compositional evolution and Y2O3 decoration. Ceramics International. 45(5). 5384–5391. 35 indexed citations

10.

Ma, S.Y., et al.. (2018). Optimization of formaldehyde detection performance based on Ni2+ sensitized monodisperse amorphous zinc tin oxide microcubes. Materials Letters. 239. 207–211. 5 indexed citations

11.

Yang, Haidong, S.Y. Ma, Guijin Yang, et al.. (2017). Synthesis of La 2 O 3 doped Zn 2 SnO 4 hollow fibers by electrospinning method and application in detecting of acetone. Applied Surface Science. 425. 585–593. 42 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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