Weitong Ruan

459 total citations
13 papers, 366 citations indexed

About

Weitong Ruan is a scholar working on Molecular Biology, Artificial Intelligence and Aerospace Engineering. According to data from OpenAlex, Weitong Ruan has authored 13 papers receiving a total of 366 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 3 papers in Artificial Intelligence and 3 papers in Aerospace Engineering. Recurrent topics in Weitong Ruan's work include Advanced Chemical Sensor Technologies (2 papers), Spacecraft Design and Technology (2 papers) and Identification and Quantification in Food (2 papers). Weitong Ruan is often cited by papers focused on Advanced Chemical Sensor Technologies (2 papers), Spacecraft Design and Technology (2 papers) and Identification and Quantification in Food (2 papers). Weitong Ruan collaborates with scholars based in United States, Italy and Canada. Weitong Ruan's co-authors include Eric L. Miller, Sameer Sonkusale, Shideh Kabiri Ameri, Guoqing Fu, Yael Zilberman, Yu Chen, Mohsen Akbari, Mehmet R. Dokmeci, Ali Tamayol and Sara Bagherifard and has published in prestigious journals such as Food Control, Advanced Healthcare Materials and IEEE Geoscience and Remote Sensing Letters.

In The Last Decade

Weitong Ruan

13 papers receiving 359 citations

Peers

Weitong Ruan

BE

BIOMA

REHAB

EEE

MB

Guoqing Fu United States

Tatiya Siripongpreda Thailand

Minh Thành Vu Vietnam

Didem Aycan Türkiye

Rafael Leonardo Cruz Gomes da Silva Brazil

Sherwin Chong Li Tan Singapore

Suraj Kumar Nayak India

Liujun Liu China

Jing Quan China

Mengying Zhang China

Guoqing Fu United States

Weitong Ruan

253 ×1.1

BE

143 ×1.2

BIOMA

83 ×1.0

REHAB

167 ×3.5

EEE

49 ×1.0

MB

Citations per year, relative to Weitong Ruan Weitong Ruan (= 1×) peers Guoqing Fu

Countries citing papers authored by Weitong Ruan

Since Specialization

Citations

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

Fields of papers citing papers by Weitong Ruan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weitong Ruan

This figure shows the co-authorship network connecting the top 25 collaborators of Weitong Ruan. A scholar is included among the top collaborators of Weitong Ruan 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 Weitong Ruan. Weitong Ruan 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:

13 of 13 papers shown

1.

Yang, Fan, et al.. (2024). Masking Latent Gender Knowledge for Debiasing Image Captioning. 227–238. 1 indexed citations

2.

Yang, Fan, et al.. (2022). Semantic VL-BERT: Visual Grounding via Attribute Learning. 2022 International Joint Conference on Neural Networks (IJCNN). 1–8. 2 indexed citations

3.

Tran, Thanh, et al.. (2022). Adaptive Global-Local Context Fusion for Multi-Turn Spoken Language Understanding. Proceedings of the AAAI Conference on Artificial Intelligence. 36(11). 12622–12628. 2 indexed citations

4.

Wang, Wei, et al.. (2020). Thermo-Mechanically Trained Shape Memory Alloy for Temperature Recording With Visual Readout. IEEE Sensors Letters. 5(1). 1–4. 10 indexed citations

5.

Ruan, Weitong, Adam B. Milstein, William J. Blackwell, & Eric L. Miller. (2017). A Probabilistic Analysis of Positional Errors on Satellite Remote Sensing Data Using Scattered Interpolation. IEEE Geoscience and Remote Sensing Letters. 14(6). 861–865. 3 indexed citations

6.

Chen, Yu, Guoqing Fu, Yael Zilberman, et al.. (2017). Low cost smart phone diagnostics for food using paper-based colorimetric sensor arrays. Food Control. 82. 227–232. 114 indexed citations

7.

Ruan, Weitong, Adam B. Milstein, William J. Blackwell, & Eric L. Miller. (2017). Multiple output Gaussian process regression algorithm for multi-frequency scattered data interpolation. 12. 3992–3995. 4 indexed citations

8.

Chen, Yu, Guoqing Fu, Yael Zilberman, et al.. (2017). Disposable colorimetric geometric barcode sensor for food quality monitoring. 1422–1424. 14 indexed citations

9.

Ruan, Weitong, Adam B. Milstein, William J. Blackwell, & Eric L. Miller. (2016). On the Use of Gaussian Random Processes for Probabilistic Interpolation of CubeSat Data in the Presence of Geolocation Error. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 9(6). 2777–2793. 4 indexed citations

10.

Tamayol, Ali, Mohsen Akbari, Yael Zilberman, et al.. (2016). pH‐Sensing Hydrogel Fibers: Flexible pH‐Sensing Hydrogel Fibers for Epidermal Applications (Adv. Healthcare Mater. 6/2016). Advanced Healthcare Materials. 5(6). 624–624. 8 indexed citations

11.

Tamayol, Ali, Mohsen Akbari, Yael Zilberman, et al.. (2016). Flexible pH‐Sensing Hydrogel Fibers for Epidermal Applications. Advanced Healthcare Materials. 5(6). 711–719. 202 indexed citations

12.

He, Lin, Weitong Ruan, & Yuanqing Li. (2012). Sparse representation based hyperspectral imagery classification via expanded dictionary. 1–4. 1 indexed citations

13.

He, Lin, Peipei Zhang, & Weitong Ruan. (2012). DSmT Based RX Detector for Hyperspectral Imagery. 1–4. 1 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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