Weiwei Deng

844 total citations · 1 hit paper
30 papers, 580 citations indexed

About

Weiwei Deng is a scholar working on Artificial Intelligence, Information Systems and Management of Technology and Innovation. According to data from OpenAlex, Weiwei Deng has authored 30 papers receiving a total of 580 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 11 papers in Information Systems and 4 papers in Management of Technology and Innovation. Recurrent topics in Weiwei Deng's work include Recommender Systems and Techniques (10 papers), Advanced Graph Neural Networks (4 papers) and Additive Manufacturing Materials and Processes (3 papers). Weiwei Deng is often cited by papers focused on Recommender Systems and Techniques (10 papers), Advanced Graph Neural Networks (4 papers) and Additive Manufacturing Materials and Processes (3 papers). Weiwei Deng collaborates with scholars based in China, Hong Kong and United States. Weiwei Deng's co-authors include Hucheng Zhou, Feng Sun, Chenbin Liu, Xiao Zhang, Yuenan Wang, Zhenqing Li, Bingcong Jian, Honggeng Li, Haitao Ye and Qingjiang Liu and has published in prestigious journals such as Nature Communications, Scientific Reports and Materials Science and Engineering A.

In The Last Decade

Weiwei Deng

29 papers receiving 561 citations

Hit Papers

Centrifugal multimaterial 3D printing of multifunctional ... 2022 2026 2023 2024 2022 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Weiwei Deng China 12 158 149 124 106 104 30 580
Yuan Liang China 10 108 0.7× 77 0.5× 136 1.1× 81 0.8× 17 0.2× 60 597
Pranav Kumar Singh India 17 168 1.1× 230 1.5× 56 0.5× 29 0.3× 100 1.0× 66 946
Gary Ng United Kingdom 17 314 2.0× 122 0.8× 226 1.8× 355 3.3× 156 1.5× 38 1.2k
Yafei Li China 19 189 1.2× 164 1.1× 69 0.6× 103 1.0× 160 1.5× 89 1.2k
Mohammed A. El-Meligy Saudi Arabia 16 97 0.6× 53 0.4× 36 0.3× 77 0.7× 43 0.4× 47 678
Amit Joshi India 17 73 0.5× 45 0.3× 44 0.4× 361 3.4× 37 0.4× 70 810
Hyun‐Jin Choi South Korea 17 120 0.8× 49 0.3× 181 1.5× 56 0.5× 41 0.4× 76 972
Yuying Chen China 15 338 2.1× 50 0.3× 93 0.8× 23 0.2× 121 1.2× 52 794
Mohammad S. Hasan United Kingdom 14 101 0.6× 58 0.4× 80 0.6× 56 0.5× 23 0.2× 47 516

Countries citing papers authored by Weiwei Deng

Since Specialization
Citations

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

Fields of papers citing papers by Weiwei Deng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weiwei Deng

This figure shows the co-authorship network connecting the top 25 collaborators of Weiwei Deng. A scholar is included among the top collaborators of Weiwei Deng 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 Weiwei Deng. Weiwei Deng 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.
Zhang, Hongmei, Liliang Wang, Weiwei Deng, et al.. (2025). Effect of electrical pulse treatment on the microstructure and mechanical properties of IN718 alloy fabricated by laser powder bed fusion. Materials Science and Engineering A. 947. 149258–149258. 1 indexed citations
2.
Zhang, Hongmei, Yujie Wu, Yi Wang, et al.. (2024). In-situ nanoscale precipitation behavior and strengthening mechanism of WC/IN718 composites manufactured by laser powder bed fusion. Composites Part B Engineering. 284. 111727–111727. 26 indexed citations
3.
Tian, Yü, Yongqing Duan, Yanqiao Pan, et al.. (2024). Electrospray Deposition for Electronic Thin Films on 3D Freeform Surfaces: From Mechanisms to Applications. Advanced Materials Technologies. 9(22). 15 indexed citations
4.
Deng, Weiwei, et al.. (2023). Knowledge-aware sequence modelling with deep learning for online course recommendation. Information Processing & Management. 60(4). 103377–103377. 15 indexed citations
5.
Deng, Weiwei, et al.. (2023). Interpretable patent recommendation with knowledge graph and deep learning. Scientific Reports. 13(1). 2586–2586. 11 indexed citations
6.
Deng, Weiwei, et al.. (2023). MSRN-Informer: Time Series Prediction Model Based on Multi-Scale Residual Network. IEEE Access. 11. 65059–65065. 11 indexed citations
7.
Cheng, Jianxiang, Rong Wang, Qingjiang Liu, et al.. (2022). Centrifugal multimaterial 3D printing of multifunctional heterogeneous objects. Nature Communications. 13(1). 7931–7931. 165 indexed citations breakdown →
8.
Deng, Weiwei, et al.. (2022). Leveraging heterogeneous information based on heterogeneous network and homophily theory for community recommendations. Electronic Commerce Research. 23(4). 2463–2483. 3 indexed citations
9.
Deng, Weiwei & Jian Ma. (2021). A knowledge graph approach for recommending patents to companies. Electronic Commerce Research. 22(4). 1435–1466. 8 indexed citations
10.
Deng, Weiwei, et al.. (2021). Incorporating heterogeneous information in deep learning with informative meta-paths for community recommendations. Journal of Information Science. 49(5). 1309–1324. 2 indexed citations
11.
Li, Tao, et al.. (2021). Laser cladding state recognition and crack defect diagnosis by acoustic emission signal and neural network. Optics & Laser Technology. 142. 107161–107161. 48 indexed citations
12.
Deng, Weiwei. (2020). Leveraging consumer behaviors for product recommendation: an approach based on heterogeneous network. Electronic Commerce Research. 22(4). 1079–1105. 7 indexed citations
13.
Wang, Yuenan, Chenbin Liu, Xiao Zhang, & Weiwei Deng. (2019). Synthetic CT Generation Based on T2 Weighted MRI of Nasopharyngeal Carcinoma (NPC) Using a Deep Convolutional Neural Network (DCNN). Frontiers in Oncology. 9. 1333–1333. 55 indexed citations
14.
Deng, Weiwei, et al.. (2019). Facilitating Technology Transfer by Patent Knowledge Graph. Proceedings of the ... Annual Hawaii International Conference on System Sciences. 8 indexed citations
15.
Deng, Weiwei, et al.. (2018). Enhancing group recommendation by knowledge graph. Journal of the Association for Information Systems. 214. 3 indexed citations
16.
Deng, Weiwei & Jian Ma. (2017). Leveraging Heterogeneous Information Network for Community Recommendation. Journal of the Association for Information Systems. 3979–3989. 2 indexed citations
17.
Zhao, Chunhui & Weiwei Deng. (2017). A theory of recursive kernel RX anomaly detection algorithm for hyperspectral imagery. 2017 Progress in Electromagnetics Research Symposium - Fall (PIERS - FALL). 1947–1952. 1 indexed citations
18.
Zhao, Chunhui, Bing Gao, Weiwei Deng, & Hongyu Zhang. (2017). A pencil drawing algorithm based on wavelet transform multiscale. 2017 Progress in Electromagnetics Research Symposium - Fall (PIERS - FALL). 73–79. 2 indexed citations
19.
Deng, Weiwei, et al.. (2017). Model Ensemble for Click Prediction in Bing Search Ads. 689–698. 92 indexed citations
20.
Deng, Weiwei & Hong Peng. (2006). Research on a Naive Bayesian Based Short Message Filtering System. 1233–1237. 25 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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