Shijie Tian

922 total citations
49 papers, 672 citations indexed

About

Shijie Tian is a scholar working on Analytical Chemistry, Electrical and Electronic Engineering and Plant Science. According to data from OpenAlex, Shijie Tian has authored 49 papers receiving a total of 672 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Analytical Chemistry, 16 papers in Electrical and Electronic Engineering and 15 papers in Plant Science. Recurrent topics in Shijie Tian's work include Spectroscopy and Chemometric Analyses (23 papers), Advanced Chemical Sensor Technologies (11 papers) and Silicon and Solar Cell Technologies (11 papers). Shijie Tian is often cited by papers focused on Spectroscopy and Chemometric Analyses (23 papers), Advanced Chemical Sensor Technologies (11 papers) and Silicon and Solar Cell Technologies (11 papers). Shijie Tian collaborates with scholars based in China, United States and Spain. Shijie Tian's co-authors include Huirong Xu, Haihui Zhang, Juan Zhao, Hao Tian, A.F. Tasch, Jianping Wang, Wei Liu, Mengsheng Zhang, Steven J. Morris and Junhua Zhang and has published in prestigious journals such as Journal of The Electrochemical Society, Food Research International and IEEE Transactions on Electron Devices.

In The Last Decade

Shijie Tian

42 papers receiving 661 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shijie Tian China 16 402 218 204 139 138 49 672
Xueming He China 18 405 1.0× 214 1.0× 164 0.8× 88 0.6× 73 0.5× 38 778
Xiaping Fu China 17 522 1.3× 304 1.4× 166 0.8× 110 0.8× 113 0.8× 48 998
Hailiang Zhang China 17 536 1.3× 227 1.0× 202 1.0× 91 0.7× 145 1.1× 59 870
Aiguo Ouyang China 15 588 1.5× 236 1.1× 215 1.1× 56 0.4× 157 1.1× 66 799
Sai Xu China 16 269 0.7× 226 1.0× 164 0.8× 38 0.3× 67 0.5× 37 557
Dapeng Ye China 16 299 0.7× 161 0.7× 188 0.9× 79 0.6× 43 0.3× 64 648
Valentijn De Smedt Belgium 11 244 0.6× 191 0.9× 171 0.8× 256 1.8× 85 0.6× 50 636
Suming Chen Taiwan 16 174 0.4× 126 0.6× 190 0.9× 74 0.5× 31 0.2× 44 598
Paul Martinsen New Zealand 14 565 1.4× 236 1.1× 360 1.8× 24 0.2× 186 1.3× 20 850
Yang Tao United States 12 305 0.8× 119 0.5× 205 1.0× 33 0.2× 33 0.2× 32 780

Countries citing papers authored by Shijie Tian

Since Specialization
Citations

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

Fields of papers citing papers by Shijie Tian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shijie Tian

This figure shows the co-authorship network connecting the top 25 collaborators of Shijie Tian. A scholar is included among the top collaborators of Shijie Tian 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 Shijie Tian. Shijie Tian 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.
Sun, Xiyun, Wenqi Wang, Shijie Tian, et al.. (2025). Effects and thermodynamics of copigments on anthocyanins in strawberry juice under different thermal sterilization conditions. CyTA - Journal of Food. 23(1).
2.
3.
Gao, Pan, et al.. (2025). A predictive model of photosynthetic rates for eggplants: Integrating physiological and environmental parameters. Computers and Electronics in Agriculture. 234. 110241–110241. 2 indexed citations
4.
Zhang, Kekun, et al.. (2025). Detecting soluble solids content of individual berries using image depth correction in hyperspectral imaging of grape clusters. Food Control. 178. 111473–111473. 1 indexed citations
5.
Zhao, Yiran, et al.. (2024). Transmittance spectra and acoustic properties of durians with different ripening: An exploration of application for complex-structured and large-sized fruit. Postharvest Biology and Technology. 217. 113103–113103. 5 indexed citations
6.
7.
Yang, Jie, Shijie Tian, Hao Jiang, et al.. (2024). Enhancing spectroscopy-based fruit quality control: A knowledge-guided machine learning approach to reduce model uncertainty. Postharvest Biology and Technology. 216. 113009–113009. 6 indexed citations
8.
Xu, Chenchu, Shijie Tian, Jie Zhang, et al.. (2024). Common-Unique Decomposition Driven Diffusion Model for Contrast-Enhanced Liver MR Images Multi-Phase Interconversion. IEEE Journal of Biomedical and Health Informatics. 29(7). 4633–4646. 1 indexed citations
9.
Tian, Shijie, et al.. (2024). Biomimetic leaves with immobilized catalase for machine learning-enabled validating fresh produce sanitation processes. Food Research International. 179. 114028–114028. 1 indexed citations
10.
Tian, Shijie, Wei Liu, & Huirong Xu. (2023). Improving the prediction performance of soluble solids content (SSC) in kiwifruit by means of near-infrared spectroscopy using slope/bias correction and calibration updating. Food Research International. 170. 112988–112988. 31 indexed citations
11.
Wang, Zhipeng, et al.. (2023). Grasping perception and prediction model of kiwifruit firmness based on flexible sensing claw. Computers and Electronics in Agriculture. 215. 108389–108389. 7 indexed citations
12.
Tian, Shijie & Huirong Xu. (2022). Mechanical-based and Optical-based Methods for Nondestructive Evaluation of Fruit Firmness. Food Reviews International. 39(7). 4009–4039. 25 indexed citations
13.
Tian, Shijie, et al.. (2022). Identification of the geographic origin of peaches by VIS-NIR spectroscopy, fluorescence spectroscopy and image processing technology. Journal of Food Composition and Analysis. 114. 104843–104843. 27 indexed citations
14.
Tian, Shijie & Huirong Xu. (2022). Nondestructive Methods for the Quality Assessment of Fruits and Vegetables Considering Their Physical and Biological Variability. Food Engineering Reviews. 14(3). 380–407. 29 indexed citations
15.
Wang, Shuai, et al.. (2022). Vis/NIR model development and robustness in prediction of potato dry matter content with influence of cultivar and season. Postharvest Biology and Technology. 197. 112202–112202. 19 indexed citations
16.
Xing, Zhen, et al.. (2022). Comparison of online quality prediction models of kiwifruit at different conveying speeds. Journal of Food Measurement & Characterization. 17(1). 686–693. 7 indexed citations
17.
Tian, Shijie, Michael F. Morris, Steven J. Morris, et al.. (1998). A detailed physical model for ion implant induced damage in silicon. IEEE Transactions on Electron Devices. 45(6). 1226–1238. 36 indexed citations
18.
Morris, Steven J., et al.. (1996). A Monte Carlo Binary Collision Model for  BF 2 Implants into (100) Single‐Crystal Silicon. Journal of The Electrochemical Society. 143(11). 3784–3790. 5 indexed citations
19.
Tian, Shijie, Michael F. Morris, Steven J. Morris, B. Obradovic, & A.F. Tasch. (1996). Modeling of Damage Evolution During Ion Implantation into Silicon: a Monte Carlo Approach. MRS Proceedings. 438.
20.
Tian, Shijie, et al.. (1995). An Examination of the Effect of Dose Rate on Ion Implanted Impurity Profiles in Silicon. Journal of The Electrochemical Society. 142(9). 3215–3219. 7 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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