Ning Liang

400 total citations
12 papers, 275 citations indexed

About

Ning Liang is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Aquatic Science. According to data from OpenAlex, Ning Liang has authored 12 papers receiving a total of 275 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Electrical and Electronic Engineering, 3 papers in Computer Networks and Communications and 3 papers in Aquatic Science. Recurrent topics in Ning Liang's work include Innovations in Aquaponics and Hydroponics Systems (3 papers), Advanced MIMO Systems Optimization (3 papers) and Energy Harvesting in Wireless Networks (2 papers). Ning Liang is often cited by papers focused on Innovations in Aquaponics and Hydroponics Systems (3 papers), Advanced MIMO Systems Optimization (3 papers) and Energy Harvesting in Wireless Networks (2 papers). Ning Liang collaborates with scholars based in China, United States and Egypt. Ning Liang's co-authors include Wenyi Zhang, Zhengjun Qiu, Yong He, Chu Zhang, Lei Zhou, Mohamed Farag Taha, Gamal ElMasry, Alwaseela Abdalla, Mostafa Gouda and David Rousseau and has published in prestigious journals such as Journal of Hazardous Materials, IEEE Journal on Selected Areas in Communications and IEEE Transactions on Communications.

In The Last Decade

Ning Liang

11 papers receiving 268 citations

Peers

Ning Liang

EEE

PS

WST

AC

AS

Zhiyu Ma China

Shashikant Sadistap India

Rosyzie Anna Awg Haji Mohd Apong Brunei

C. Poongodi India

Wael M. Elmessery Egypt

Lianming Xia China

Andri Prima Nugroho Indonesia

Wenqi Wang China

Satyam Srivastava India

Madaín Pérez‐Patricio Mexico

Zhiyu Ma China

Ning Liang

20 ×0.3

EEE

141 ×2.4

PS

19 ×0.3

WST

45 ×0.8

AC

7 ×0.1

AS

Citations per year, relative to Ning Liang Ning Liang (= 1×) peers Zhiyu Ma

Countries citing papers authored by Ning Liang

Since Specialization

Citations

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

Fields of papers citing papers by Ning Liang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ning Liang

This figure shows the co-authorship network connecting the top 25 collaborators of Ning Liang. A scholar is included among the top collaborators of Ning Liang 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 Ning Liang. Ning Liang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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12 of 12 papers shown

1.

Qi, Zhen, Ning Liang, Ning Hou, et al.. (2025). Cross-protection and cross-feeding mediated by signaling molecules enhanced the viability of P. fluorescens S01 and R. erythropolis S02 under the dual stresses of polycyclic aromatic hydrocarbons (PAHs) and low temperature. Journal of Hazardous Materials. 494. 138689–138689.

2.

Chen, Chen, et al.. (2024). High-performance biochar derived from the leaves of Quercus dentata thunb for triclosan removal. Journal of the Taiwan Institute of Chemical Engineers. 165. 105812–105812. 1 indexed citations

3.

Taha, Mohamed Farag, Khalid S. Alshallash, Gamal ElMasry, et al.. (2022). Using Machine Learning for Nutrient Content Detection of Aquaponics-Grown Plants Based on Spectral Data. Sustainability. 14(19). 12318–12318. 16 indexed citations

4.

Taha, Mohamed Farag, Alwaseela Abdalla, Gamal ElMasry, et al.. (2022). Using Deep Convolutional Neural Network for Image-Based Diagnosis of Nutrient Deficiencies in Plants Grown in Aquaponics. Chemosensors. 10(2). 45–45. 47 indexed citations

5.

Taha, Mohamed Farag, Gamal ElMasry, Mostafa Gouda, et al.. (2022). Recent Advances of Smart Systems and Internet of Things (IoT) for Aquaponics Automation: A Comprehensive Overview. Chemosensors. 10(8). 303–303. 45 indexed citations

6.

Liang, Ning, et al.. (2020). Advances in infrared spectroscopy combined with artificial neural network for the authentication and traceability of food. Critical Reviews in Food Science and Nutrition. 62(11). 2963–2984. 66 indexed citations

7.

Zhang, Wenyi, Yizhu Wang, Cong Shen, & Ning Liang. (2019). A Regression Approach to Certain Information Transmission Problems. IEEE Journal on Selected Areas in Communications. 37(11). 2517–2531. 4 indexed citations

8.

Li, Bin, Ning Liang, & Wenyi Zhang. (2017). On Transmission Model for Massive MIMO under Low-Resolution Output Quantization. 1–5. 11 indexed citations

9.

Liang, Ning & Wenyi Zhang. (2016). Mixed-ADC Massive MIMO Uplink in Frequency-Selective Channels. IEEE Transactions on Communications. 64(11). 4652–4666. 36 indexed citations

10.

Liang, Ning & Wenyi Zhang. (2015). A mixed-ADC receiver architecture for massive MIMO systems. 22. 229–233. 16 indexed citations

11.

Gao, Qiong, Li Da Xu, & Ning Liang. (2001). Dynamic modelling with an integrated ecological knowledge-based system. Knowledge-Based Systems. 14(5-6). 281–287. 18 indexed citations

12.

Oh, Junghwan, Kien A. Hua, & Ning Liang. (1999). <title>Content-based scene change detection and classification technique using background tracking</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 3969. 254–265. 15 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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