Ling Shang

619 total citations
36 papers, 471 citations indexed

About

Ling Shang is a scholar working on Computer Networks and Communications, Ocean Engineering and Environmental Engineering. According to data from OpenAlex, Ling Shang has authored 36 papers receiving a total of 471 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Networks and Communications, 9 papers in Ocean Engineering and 9 papers in Environmental Engineering. Recurrent topics in Ling Shang's work include Distributed and Parallel Computing Systems (11 papers), Water resources management and optimization (9 papers) and Parallel Computing and Optimization Techniques (5 papers). Ling Shang is often cited by papers focused on Distributed and Parallel Computing Systems (11 papers), Water resources management and optimization (9 papers) and Parallel Computing and Optimization Techniques (5 papers). Ling Shang collaborates with scholars based in China, France and Australia. Ling Shang's co-authors include Yizi Shang, Shibao Lu, Xiaofei Li, Yuntao Ye, Hao Wang, Xiaohui Lei, Yongping Wei, Qixiang Fan, Jiaguo Gong and Yaqin Qiu and has published in prestigious journals such as Journal of Cleaner Production, Applied Energy and Journal of Hydrology.

In The Last Decade

Ling Shang

35 papers receiving 463 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ling Shang China 12 248 167 147 73 57 36 471
Tao Peng China 14 242 1.0× 70 0.4× 111 0.8× 21 0.3× 71 1.2× 37 618
Matthew Bartos United States 12 373 1.5× 147 0.9× 263 1.8× 159 2.2× 130 2.3× 25 809
Ioannis Tsoukalas Greece 15 323 1.3× 196 1.2× 123 0.8× 77 1.1× 121 2.1× 43 696
Qiuxiang Jiang China 11 128 0.5× 104 0.6× 77 0.5× 15 0.2× 29 0.5× 46 382
Thomas Hillenbrand Germany 9 181 0.7× 228 1.4× 45 0.3× 24 0.3× 81 1.4× 25 467
Spencer Snowling Canada 10 231 0.9× 42 0.3× 156 1.1× 38 0.5× 52 0.9× 30 525
Shouke Wei China 9 305 1.2× 178 1.1× 191 1.3× 65 0.9× 37 0.6× 21 586
Adel Abdallah United States 8 147 0.6× 91 0.5× 53 0.4× 33 0.5× 44 0.8× 11 280
David J. Dürrenmatt Switzerland 9 172 0.7× 34 0.2× 136 0.9× 31 0.4× 53 0.9× 12 386

Countries citing papers authored by Ling Shang

Since Specialization
Citations

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

Fields of papers citing papers by Ling Shang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ling Shang

This figure shows the co-authorship network connecting the top 25 collaborators of Ling Shang. A scholar is included among the top collaborators of Ling Shang 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 Ling Shang. Ling Shang 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.
Liu, Zhizhong, et al.. (2025). An approach to stock price prediction based on improved EEMD and attention-enhanced BiLSTM. Expert Systems with Applications. 284. 127802–127802. 2 indexed citations
2.
Shang, Ling, et al.. (2025). PenCards: a global and community-contributed public archive of variant penetrance. Journal of genetics and genomics. 53(2). 332–342. 1 indexed citations
3.
Shang, Ling, et al.. (2023). Research on big data personalised recommendation model based on deep reinforcement learning. International Journal of Networking and Virtual Organisations. 28(2/3/4). 364–380.
4.
Shang, Yizi, et al.. (2021). Technological Innovations and Advances in Hydropower Engineering. IntechOpen eBooks. 3 indexed citations
6.
Long, Yuannan, Hui Wang, Changbo Jiang, & Ling Shang. (2019). Seasonal Inflow Forecasts Using Gridded Precipitation and Soil Moisture Information: Implications for Reservoir Operation. Water Resources Management. 33(11). 3743–3757. 9 indexed citations
7.
Shang, Yizi, Xu Yang, Ling Shang, et al.. (2019). A method of direct, real-time forecasting of downstream water levels via hydropower station reregulation: A case study from Gezhouba Hydropower Plant, China. Journal of Hydrology. 573. 895–907. 26 indexed citations
8.
Shang, Yizi & Ling Shang. (2017). Trust model for reliable node allocation based on daily computer usage behavior. Concurrency and Computation Practice and Experience. 30(6). 1 indexed citations
9.
Shang, Yizi, Shibao Lu, Jiaguo Gong, et al.. (2017). Hierarchical prediction of industrial water demand based on refined Laspeyres decomposition analysis. Water Science & Technology. 76(11). 2876–2887. 2 indexed citations
10.
Shang, Yizi, et al.. (2017). Influence of Daily Regulation of a Reservoir on Downstream Navigation. Journal of Hydrologic Engineering. 22(8). 13 indexed citations
11.
Shang, Yizi & Ling Shang. (2016). Algorithm for Canal Gate Operation to Maintain Steady Water Levels Under Abrupt Water Withdrawal. Irrigation and Drainage. 65(5). 741–749. 8 indexed citations
12.
Shang, Yizi, Shibao Lu, Ling Shang, et al.. (2016). China’s energy-water nexus: Assessing water conservation synergies of the total coal consumption cap strategy until 2050. Applied Energy. 210. 643–660. 124 indexed citations
13.
Shang, Yizi, et al.. (2016). Decomposition of industrial water use from 2003 to 2012 in Tianjin, China. Technological Forecasting and Social Change. 116. 53–61. 29 indexed citations
14.
Shang, Yizi, et al.. (2014). Using the High-Level Based Program Interface to Facilitate the Large Scale Scientific Computing. The Scientific World JOURNAL. 2014. 1–8. 4 indexed citations
15.
Shang, Ling, et al.. (2013). Conceive on Construction of Government Supervision in Construction Quality Standard System. Applied Mechanics and Materials. 357-360. 1498–1506. 1 indexed citations
16.
Shang, Ling, et al.. (2011). Dynamic Prediction Method for Web Service QoS Based on Case-based Reasoning. 1 indexed citations
17.
Shang, Yizi, et al.. (2011). Parallel processing on block-based Gauss-Jordan algorithm for desktop grid. Computer Science and Information Systems. 8(3). 739–759. 5 indexed citations
18.
Shang, Ling, Serge G. Petiton, & Maxime Hugues. (2009). A New Parallel Paradigm for Block-Based Gauss-Jordan Algorithm. 193–200. 9 indexed citations
19.
Shang, Ling, Zhijian Wang, & Serge G. Petiton. (2008). Solution of Large Scale Matrix Inversion on Cluster and Grid. 2150. 33–40. 3 indexed citations
20.
Huang, Xiaoping, et al.. (2007). Availability-based Task Monitoring and Adaptation Mechanism in Desktop Grid System. 40. 444–450. 1 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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