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.
Bi-directional long short-term memory method based on attention mechanism and rolling update for short-term load forecasting
2019269 citationsShouxiang Wang, Xuan Wang et al.International Journal of Electrical Power & Energy Systemsprofile →
Ethane/Ethylene Separations in Flexible Diamondoid Coordination Networks via an Ethane-Induced Gate-Opening Mechanism
202467 citationsShaomin Wang, Mohana Shivanna et al.Journal of the American Chemical Societyprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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This map shows the geographic impact of Shaomin Wang'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 Shaomin Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shaomin Wang more than expected).
This network shows the impact of papers produced by Shaomin Wang. 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 Shaomin Wang. The network helps show where Shaomin Wang may publish in the future.
Co-authorship network of co-authors of Shaomin Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Shaomin Wang.
A scholar is included among the top collaborators of Shaomin Wang 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 Shaomin Wang. Shaomin Wang is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Wang, Shaomin, Mohana Shivanna, Su‐Tao Zheng, et al.. (2024). Ethane/Ethylene Separations in Flexible Diamondoid Coordination Networks via an Ethane-Induced Gate-Opening Mechanism. Journal of the American Chemical Society. 146(6). 4153–4161.67 indexed citations breakdown →
Liu, Haiyang, et al.. (2019). Numerical Analysis of the Dynamic Response of a Single-Point Mooring Fish Cage in Waves and Currents. Aquaculture Studies. 19(1). 25–35.1 indexed citations
Wang, Shouxiang, et al.. (2019). Bi-directional long short-term memory method based on attention mechanism and rolling update for short-term load forecasting. International Journal of Electrical Power & Energy Systems. 109. 470–479.269 indexed citations breakdown →
Wang, Shaomin. (2012). Effect of organic fertilizer and bagging on fruit flavor quality of Yali pear. Plant Nutrition and Fertilizing Science.2 indexed citations
16.
Wang, Shaomin, et al.. (2009). Study of Fragmentation Behavior for 4 Artemisinins by Electrospray Ionization Mass Spectrometry. 30(3). 148.1 indexed citations
17.
Wang, Shaomin, et al.. (2007). Effect of Fruit Bagging on Leaf Net Photosynthesis of ‘Royal Gala’Apple. Acta Horticulturae Sinica. 34(3). 543.1 indexed citations
18.
Wang, Shaomin. (2004). On-Line Economical Performance Monitoring and Energy Loss Analysis System for Power Generating Unit.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.