Deji Chen

3.0k total citations · 1 hit paper
82 papers, 1.9k citations indexed

About

Deji Chen is a scholar working on Computer Networks and Communications, Hardware and Architecture and Electrical and Electronic Engineering. According to data from OpenAlex, Deji Chen has authored 82 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Computer Networks and Communications, 21 papers in Hardware and Architecture and 15 papers in Electrical and Electronic Engineering. Recurrent topics in Deji Chen's work include Energy Efficient Wireless Sensor Networks (23 papers), Real-Time Systems Scheduling (21 papers) and Distributed systems and fault tolerance (12 papers). Deji Chen is often cited by papers focused on Energy Efficient Wireless Sensor Networks (23 papers), Real-Time Systems Scheduling (21 papers) and Distributed systems and fault tolerance (12 papers). Deji Chen collaborates with scholars based in United States, China and Sweden. Deji Chen's co-authors include Aloysius K. Mok, Mark Nixon, Song Han, Jianping Song, Xiuming Zhu, Al Mok, Mike Lucas, Xiang Feng, Sanjoy Baruah and Sergey Gorinsky and has published in prestigious journals such as IEEE Access, Sensors and Information Sciences.

In The Last Decade

Deji Chen

79 papers receiving 1.8k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

WirelessHART: Applying Wireless Technology in Real-Time Industrial Process Control

2008 443 citations Song Han, Deji Chen et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Deji Chen United States	19	1.3k	621	499	259	247	82	1.9k
B. Naresh Kumar Reddy India	19	335 0.3×	203 0.3×	582 1.2×	48 0.2×	86 0.3×	94	1.0k
Yi Zou China	19	803 0.6×	404 0.7×	446 0.9×	22 0.1×	37 0.1×	89	1.3k
Ruifeng Guo China	20	79 0.1×	776 1.2×	759 1.5×	108 0.4×	18 0.1×	133	1.2k
Liang Cheng United States	21	853 0.7×	50 0.1×	486 1.0×	129 0.5×	10 0.0×	127	1.4k
Vítor Silva Portugal	19	602 0.5×	89 0.1×	685 1.4×	18 0.1×	27 0.1×	170	1.2k
Tian Zhang China	16	285 0.2×	36 0.1×	534 1.1×	68 0.3×	33 0.1×	51	929
Fangjun Kuang China	17	373 0.3×	24 0.0×	79 0.2×	83 0.3×	114 0.5×	35	1.1k
N.I. Chervyakov Russia	15	209 0.2×	34 0.1×	104 0.2×	96 0.4×	77 0.3×	73	945
Haowen Tan China	19	779 0.6×	25 0.0×	426 0.9×	51 0.2×	35 0.1×	57	1.4k
Gang Hu United States	19	156 0.1×	51 0.1×	235 0.5×	22 0.1×	42 0.2×	76	1.2k

Countries citing papers authored by Deji Chen

Since Specialization

Citations

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

Fields of papers citing papers by Deji Chen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Deji Chen

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

20 of 20 papers shown

1.

Chen, Deji, et al.. (2025). Blockchain based handle system to secure Predictive maintenance analysis system in Industrial IoT using L2S–GRU. Internet of Things. 31. 101549–101549.

2.

Qian, Chengshan, et al.. (2025). YOLO-AMM: A Real-Time Classroom Behavior Detection Algorithm Based on Multi-Dimensional Feature Optimization. Sensors. 25(4). 1142–1142. 3 indexed citations

3.

Wang, Mengnan, et al.. (2025). Review of Surface-Defect Detection Methods for Industrial Products Based on Machine Vision. IEEE Access. 13. 90668–90697. 2 indexed citations

4.

Chen, Deji, et al.. (2024). A review of digital object architecture and handle system: Development, current applications and prospective. Internet of Things. 26. 101230–101230. 2 indexed citations

5.

Chen, Deji, et al.. (2024). Fusion of Lightweight Networks and DeepSort for Fatigue Driving Detection Tracking Algorithm. IEEE Access. 12. 56991–57003. 1 indexed citations

6.

Zhang, Weiwei, et al.. (2024). Few-Shot Learning with Contrast Prototype Network for Fault Diagnosis. 685–691. 1 indexed citations

7.

Yang, Chao, et al.. (2024). IEC104 protocol-based substation data upload IoT cloud platform implementation. Journal of Physics Conference Series. 2874(1). 12006–12006.

8.

Li, Junping, Hong‐Ming Hu, Yuling Hu, et al.. (2023). Effective sequential combined therapy with carboplatin and a CDC7 inhibitor in ovarian cancer. Translational Oncology. 39. 101825–101825. 3 indexed citations

9.

Zhang, Weiwei, Deji Chen, & Yang Kong. (2021). Self-Supervised Joint Learning Fault Diagnosis Method Based on Three-Channel Vibration Images. Sensors. 21(14). 4774–4774. 16 indexed citations

10.

Dormer, James D., et al.. (2020). Siamese neural networks for the classification of high-dimensional radiomic features. PubMed. 11314. 131–131. 2 indexed citations

11.

Li, Qinmei, et al.. (2019). Radiomics analysis of MRI for predicting molecular subtypes of breast cancer in young women. PubMed. 10950. 148–148. 6 indexed citations

12.

Yang, Hainan, et al.. (2018). Artesunate-Loaded and Near-Infrared Dye-Conjugated Albumin Nanoparticles as High-Efficiency Tumor-Targeted Photo-Chemo Theranostic Agent. Nanoscale Research Letters. 13(1). 319–319. 12 indexed citations

13.

Chen, Deji, Mark Nixon, Song Han, Aloysius K. Mok, & Xiuming Zhu. (2014). WirelessHART and IEEE 802.15.4e. 760–765. 26 indexed citations

14.

Han, Song, et al.. (2014). WirelessCHARM: An open system low cost wireless marshalling module for industrial environments. 3 indexed citations

15.

Han, Song, et al.. (2013). Building wireless embedded internet for industrial automation. 5582–5587. 6 indexed citations

16.

Chen, Deji, Mark Nixon, Song Han, et al.. (2011). Over the air provisioning of industrial wireless devices using elliptic curve cryptography. 594–600. 11 indexed citations

17.

Chen, Deji, et al.. (2004). Middleware for Wireless Process Control Systems. Arquivos Brasileiros de Oftalmologia. 81(5). 384–392. 3 indexed citations

18.

Zhu, Liqin, Deji Chen, Honggang Li, et al.. (2003). [Relationship between hMSH2 and FHIT gene expression in non-small cell lung cancer].. PubMed. 22(6). 571–4. 2 indexed citations

19.

Li, Xusheng, et al.. (2001). A note on the troughs in the Three Gorges channel of the Changjiang River, China. Geomorphology. 41(2-3). 137–142. 7 indexed citations

20.

Chen, Deji. (1984). Kunmingia, a new genus of Triculinae (Gastropoda:Pomatiopsidae) from China: phenetic and cladistic relationships. Proceedings of the Academy of Natural Sciences of Philadelphia. 136. 165–193. 16 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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