Dawei Wang

1.8k total citations
42 papers, 1.5k citations indexed

About

Dawei Wang is a scholar working on Electrical and Electronic Engineering, Materials Chemistry and Biomedical Engineering. According to data from OpenAlex, Dawei Wang has authored 42 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Electrical and Electronic Engineering, 19 papers in Materials Chemistry and 13 papers in Biomedical Engineering. Recurrent topics in Dawei Wang's work include Gas Sensing Nanomaterials and Sensors (22 papers), 2D Materials and Applications (13 papers) and Analytical Chemistry and Sensors (9 papers). Dawei Wang is often cited by papers focused on Gas Sensing Nanomaterials and Sensors (22 papers), 2D Materials and Applications (13 papers) and Analytical Chemistry and Sensors (9 papers). Dawei Wang collaborates with scholars based in China, United States and Hong Kong. Dawei Wang's co-authors include Xiaohua Wang, Mingzhe Rong, Aijun Yang, Jifeng Chu, Huan Yuan, Pinlei Lv, Nikhil Koratkar, Tiansong Lan, Jianbin Pan and Weijuan Li and has published in prestigious journals such as Advanced Energy Materials, Carbon and Journal of Materials Chemistry A.

In The Last Decade

Dawei Wang

42 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dawei Wang China 20 996 869 391 206 103 42 1.5k
Weijia Li China 24 729 0.7× 289 0.3× 453 1.2× 303 1.5× 63 0.6× 117 1.6k
Zhihua Zhao China 20 837 0.8× 233 0.3× 335 0.9× 136 0.7× 44 0.4× 156 1.4k
Safdar Zaman Sweden 15 529 0.5× 730 0.8× 161 0.4× 69 0.3× 162 1.6× 43 1.1k
Roy Paily India 21 1.2k 1.2× 278 0.3× 489 1.3× 84 0.4× 44 0.4× 165 1.6k
Siyu Zhang China 21 1.3k 1.3× 561 0.6× 103 0.3× 75 0.4× 136 1.3× 93 1.5k
Yong Pan China 20 652 0.7× 380 0.4× 657 1.7× 253 1.2× 25 0.2× 78 1.4k
Dan Shan China 22 879 0.9× 519 0.6× 213 0.5× 171 0.8× 160 1.6× 52 1.2k
Janusz Smulko Poland 26 1.1k 1.1× 414 0.5× 877 2.2× 506 2.5× 80 0.8× 140 1.8k
Shanshan Wang China 25 1.6k 1.6× 508 0.6× 252 0.6× 192 0.9× 108 1.0× 95 2.0k

Countries citing papers authored by Dawei Wang

Since Specialization
Citations

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

Fields of papers citing papers by Dawei Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dawei Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Dawei Wang. A scholar is included among the top collaborators of Dawei Wang 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 Dawei Wang. Dawei Wang 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.
Xie, Shijing, Keqiang Liu, Yanguang Cui, et al.. (2024). Formation of intragranular nanocavities in the Cr2O3 layer during the corrosion of Cr3C2+Cr coated Zirlo™. Corrosion Science. 233. 112117–112117. 4 indexed citations
2.
Wang, Dawei, et al.. (2023). FFSCore-LSTM: An enhanced LSTM-based camera relocalization networks via front feature smoothing core. Measurement. 210. 112542–112542. 3 indexed citations
3.
Wang, Dawei, et al.. (2023). Emergence of charge density wave and Ising superconductivity in centrosymmetric monolayer 1T-HfTe2. Nano Research. 16(8). 11521–11527. 3 indexed citations
4.
Liu, Tingting, et al.. (2022). Analyzing the Effect of Baking on the Flavor of Defatted Tiger Nut Flour by E-Tongue, E-Nose and HS-SPME-GC-MS. Foods. 11(3). 446–446. 35 indexed citations
5.
Pan, Jianbin, Aijun Yang, Dawei Wang, et al.. (2021). Lightweight Neural Network for Gas Identification Based on Semiconductor Sensor. IEEE Transactions on Instrumentation and Measurement. 71. 1–8. 27 indexed citations
6.
Wang, Dawei, Jifeng Chu, Huan Yuan, et al.. (2021). Virtual Alternating Current Measurements Advance Semiconductor Gas Sensors’ Performance in the Internet of Things. IEEE Internet of Things Journal. 9(7). 5502–5510. 16 indexed citations
7.
Chu, Jifeng, Aijun Yang, Xu Yang, et al.. (2021). Multicomponent SF6 decomposition product sensing with a gas-sensing microchip. Microsystems & Nanoengineering. 7(1). 18–18. 15 indexed citations
8.
Wang, Xiaohua, Dawei Wang, Zhu Liu, et al.. (2020). Antimonene: A Promising Candidate for SF₆ Decomposition Gas Sensors With High Sensitivity and High Stability. IEEE Electron Device Letters. 41(9). 1408–1411. 23 indexed citations
9.
Wang, Dawei, Tiansong Lan, Aijun Yang, et al.. (2020). SF6 Decomposition Gas Sensor Based on GeP Monolayer: A First-Principle Study. IEEE Sensors Journal. 20(16). 8997–9003. 21 indexed citations
10.
Niu, Chunping, Tiansong Lan, Dawei Wang, et al.. (2020). Tunable adsorption behavior of small molecule on GeP monolayer by applied strain and electric field. Applied Surface Science. 520. 146257–146257. 22 indexed citations
11.
Chu, Jifeng, Weijuan Li, Xu Yang, et al.. (2020). Identification of gas mixtures via sensor array combining with neural networks. Sensors and Actuators B Chemical. 329. 129090–129090. 156 indexed citations
12.
Wang, Dawei, Tingxiang Fan, Tao Han, & Jia Pan. (2020). A Two-Stage Reinforcement Learning Approach for Multi-UAV Collision Avoidance Under Imperfect Sensing. IEEE Robotics and Automation Letters. 5(2). 3098–3105. 104 indexed citations
13.
Chu, Jifeng, Xu Yang, Aijun Yang, et al.. (2020). Multivariate Evaluation Method for Screening Optimum Gas-Sensitive Materials for Detecting SF6 Decomposition Products. ACS Sensors. 5(7). 2025–2035. 16 indexed citations
14.
Yang, Aijun, Jianbin Pan, Dawei Wang, et al.. (2020). Tunable SO2-sensing performance of arsenene induced by Stone-Wales defects and external electric field. Applied Surface Science. 523. 146403–146403. 37 indexed citations
15.
Yang, Aijun, Dawei Wang, Xiaohua Wang, et al.. (2017). Phosphorene: A Promising Candidate for Highly Sensitive and Selective SF6 Decomposition Gas Sensors. IEEE Electron Device Letters. 38(7). 963–966. 141 indexed citations
16.
Wang, Dawei, Aijun Yang, Jifeng Chu, et al.. (2017). Antimonene: A promising candidate for acetone sensors with high selectivity and sensitivity. 1–3. 6 indexed citations
17.
Wang, Dawei, Ho‐Man Chan, Hung‐Wing Li, et al.. (2013). Folate-conjugated Fe3O4@SiO2@gold nanorods@mesoporous SiO2 hybrid nanomaterial: a theranostic agent for magnetic resonance imaging and photothermal therapy. Journal of Materials Chemistry B. 1(23). 2934–2934. 76 indexed citations
18.
Wang, Dawei, Yibo Xue, & Yingfei Dong. (2012). NNS:A Novel Neighborhood Negative Selection algorithm. World Automation Congress. 453–457. 3 indexed citations
19.
He, Lin, Junfeng Liu, Zhaoxin Wu, et al.. (2009). Solution-processed small molecule thin films and their light-emitting devices. Thin Solid Films. 518(14). 3886–3890. 9 indexed citations
20.
Li, Dongfeng, et al.. (1999). Effect of tracheosyringeal denervation on call in greenfinch (Carduelis sinica). Science in China Series C Life Sciences. 42(6). 561–569. 3 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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