Songwei Liu

596 total citations · 1 hit paper
26 papers, 317 citations indexed

About

Songwei Liu is a scholar working on Electrical and Electronic Engineering, Materials Chemistry and Artificial Intelligence. According to data from OpenAlex, Songwei Liu has authored 26 papers receiving a total of 317 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Electrical and Electronic Engineering, 8 papers in Materials Chemistry and 4 papers in Artificial Intelligence. Recurrent topics in Songwei Liu's work include Quantum Dots Synthesis And Properties (7 papers), Chalcogenide Semiconductor Thin Films (7 papers) and Perovskite Materials and Applications (6 papers). Songwei Liu is often cited by papers focused on Quantum Dots Synthesis And Properties (7 papers), Chalcogenide Semiconductor Thin Films (7 papers) and Perovskite Materials and Applications (6 papers). Songwei Liu collaborates with scholars based in China, United Kingdom and Hong Kong. Songwei Liu's co-authors include Fangmin Chen, Yang Bai, Ding Liu, Mingxi Li, Fangyuan Kong, Lean Fu, Jingwen He, Lintao Hou, Donghuan Qin and Hongbin Wu and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Advanced Functional Materials.

In The Last Decade

Songwei Liu

22 papers receiving 306 citations

Hit Papers

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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.

Residual Local Feature Network for Efficient Super-Resolution

2022 139 citations Songwei Liu et al. profile →

Peers

Countries citing papers authored by Songwei Liu

Since Specialization

Citations

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

Fields of papers citing papers by Songwei Liu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Songwei Liu

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Lightweight error-tolerant edge detection using memristor-enabled stochastic computing 2025 ·Nature Communications ·(unknown), (unknown), (unknown), (unknown), Songwei Liu, (unknown), Leonard W. T. Ng, Tawfique Hasan, Kong‐Pang Pun, Shuo Gao, Guohua Hu	4
2	Heuristic Initialisation based on Graph Structures for Shortest Path Search on Multi-objective Multigraphs 2025 ·Songwei Liu, (unknown), Jun Chen	0
3	Road Roughness Recognition: Feature Extraction and Speed-Adaptive Classification Based on Simulation and Real-Vehicle Tests 2025 ·Machines ·Jie Xing, (unknown), (unknown), Songwei Liu, Jiawei Lin	1
4	Promoting solution-processed CdTe nanocrystal solar cells via rationally controlled copper doping 2024 ·Journal of Materials Chemistry C ·(unknown), Songwei Liu, (unknown), Zheng Zhou, Donghuan Qin, Dan Wang, Wei Xu, Lintao Hou	0
5	Conduction Modulation of Solution‐Processed 2D Materials 2024 ·Advanced Electronic Materials ·Songwei Liu, (unknown), Yingyi Wen, Pengyu Liu, (unknown), Jingfang Pei, Wenchen Yang, (unknown), Danmei Pan, Panpan Zhang, Teng Ma, (unknown), Gang Wang, Guohua Hu	4
6	Extracting multi-objective multigraph features for the shortest path cost prediction: Statistics-based or learning-based? 2023 ·SHILAP Revista de lepidopterología ·Songwei Liu, Xinwei Wang, Michal Weiszer, Jun Chen	3
7	Spiking Neurons with Neural Dynamics Implemented Using Stochastic Memristors 2023 ·Advanced Electronic Materials ·(unknown), Pengyu Liu, (unknown), (unknown), (unknown), Songwei Liu, (unknown), Leonard W. T. Ng, Kong‐Pang Pun, Shuo Gao, Max Q.‐H. Meng, Tawfique Hasan, Guohua Hu	12
8	Exploiting Neural Network for Heart Disease Probability Prediction 2023 ·Applied and Computational Engineering ·Songwei Liu, (unknown), (unknown)	1
9	Multi-objective Multigraph A* Search with Learning Heuristics based on Node Metrics and Graph Embedding 2022 ·Queen Mary Research Online (Queen Mary University of London) ·Songwei Liu, Jun Chen, Michal Weiszer	2
10	A reflective methane concentration sensor based on biconvex cone photonic crystal fiber 2021 ·Optik ·(unknown), Peng Gao, Songwei Liu, (unknown)	14
11	Identifying Operational Benefits of the Arrival Management System – A KPI-Based Experimental Method by Evaluating Radar Trajectories 2021 ·PROMET - Traffic&Transportation ·Songwei Liu, (unknown), (unknown), (unknown), (unknown)	3
12	All-fiber Mach–Zehnder interferometer with dual-waist PCF structure for highly sensitive refractive index sensing 2019 ·Applied Physics B ·Peng Gao, (unknown), (unknown), Songwei Liu, Yanan Zhang	10
13	Surface passivation via acid vapor etching enables efficient and stable solution-processed CdTe nanocrystal solar cells 2019 ·Sustainable Energy & Fuels ·(unknown), (unknown), Wang Le, Songwei Liu, Zhe Liu, (unknown), (unknown), Donghuan Qin, Yuguang Ma, Hongbin Wu, Lintao Hou	12
14	Interface Engineering for Both Cathode and Anode Enables Low‐Cost Highly Efficient Solution‐Processed CdTe Nanocrystal Solar Cells 2019 ·Advanced Functional Materials ·(unknown), (unknown), (unknown), Songwei Liu, Donghuan Qin, Yueqi Mo, Wei Xu, Hongbin Wu, Hong Zhao, Lintao Hou	20
15	A Data-Driven Method for Evaluating the Efficiency of Air Traffic Control about Arrival Operations 2019 ·CICTP 2019 ·Songwei Liu, Junfeng Zhang	1
16	Efficient CdTe Nanocrystal/TiO2 Hetero-Junction Solar Cells with Open Circuit Voltage Breaking 0.8 V by Incorporating A Thin Layer of CdS Nanocrystal 2018 ·Nanomaterials ·(unknown), Bin Wu, (unknown), Xiaolin Liu, (unknown), Songwei Liu, Yanru Chen, Donghuan Qin, Wei Xu, Lintao Hou, (unknown)	6
17	High-efficiency solution-processed CdTe nanocrystal solar cells incorporating a novel crosslinkable conjugated polymer as the hole transport layer 2018 ·Nano Energy ·(unknown), (unknown), Songwei Liu, Donghuan Qin, Yueqi Mo, Lintao Hou, (unknown), Hongbin Wu, Yuguang Ma	33
18	Solution-Processed Efficient Nanocrystal Solar Cells Based on CdTe and CdS Nanocrystals 2018 ·Coatings ·Songwei Liu, (unknown), (unknown), Wenfeng Zhou, Yanru Chen, (unknown), Donghuan Qin, Lintao Hou, Dan Wang, Hui Xu	20
19	CdTe Nanocrystal Hetero-Junction Solar Cells with High Open Circuit Voltage Based on Sb-doped TiO2 Electron Acceptor Materials 2017 ·Nanomaterials ·(unknown), Xinyan Liu, (unknown), Songwei Liu, (unknown), Donghuan Qin, Lintao Hou, Hongbin Wu, Wei Xu, Wenbo Huang	13
20	A study on trajectory planning of hydraulic robotic excavator based on movement stability 2016 ·Zhongping Li, Xiaohu Li, Songwei Liu, (unknown)	7

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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