Liyan Song

6.4k citations
130 papers · 4.5k indexed · 1 hit paper · h-index 35

Liyan Song

118 papers receiving 4.2k citations

Hit Papers

Improving online learning: Student perceptions of useful ...7312004202620112018200400600

Peers

Liyan Song
Comparison fields: 5 of 194
  • Pollution 1.3k
  • Industrial and Manufacturing Engineering 667
  • Computer Science Applications 359
  • Education 1.2k
  • Developmental and Educational Psychology 495
Replace M.A. de la Rubia with:
M.A. de la Rubia Spain
Charles Miller United States
Adel S. Abduljabbar Saudi Arabia
Xiangling Zhang China
Wai Chin Li Hong Kong
Robert B. Young United States
Xiaomeng Chen China
Kuok Ho Daniel Tang United States
Angela Bielefeldt United States
Richard S. Blackburn United Kingdom
Liyan Song relative to M.A. de la Rubia Spain M.A. de la Rubia's profile →
Citations per field
00.5×10×20×27.5×
M.A. de la Rubia · 1×
Citations per year

Countries citing papers authored by Liyan Song

Since Specialization
Citations

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

Fields of papers citing papers by Liyan Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Liyan Song, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Liyan Song Line = papers co-authored together Liyan Song links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20252
2 20250
3 20253
4 20250
5 20249
6 202325
7 202313
8 20235
9 20239
10 20231
11 20224
12 202247
13 20173
14
[Investigation of Antibiotic Resistance Genes (ARGs) in Landfill].
20152
15 201583
16
Understanding Students' Online Interaction: Analysis of Discussion Board Postings
201177
17
Understanding Students’ Collaborative Online Interaction: Analysis of Discussion Board Postings
20101
18
Action Research Practitioner Perspectives
20080
19
A Conceptual Model for Understanding Self-Directed Learning in Online Environments.
2007291
20
The Gene Cloning and Bioactivity of the Expression Product of the Human FKBP12
20001

About Liyan Song

Liyan Song is a scholar working on Pollution, Industrial and Manufacturing Engineering and Health, Toxicology and Mutagenesis, having authored 130 papers that have together received 4.5k indexed citations. Recurring topics across this work include Pharmaceutical and Antibiotic Environmental Impacts (19 papers), Microbial Community Ecology and Physiology (17 papers), Wastewater Treatment and Nitrogen Removal (17 papers), Landfill Environmental Impact Studies (12 papers), Online and Blended Learning (12 papers), Innovative Teaching and Learning Methods (10 papers), Microplastics and Plastic Pollution (10 papers) and Chromium effects and bioremediation (9 papers). The work is most often cited by research in Pollution (1.3k citations), Industrial and Manufacturing Engineering (667 citations) and Computer Science Applications (359 citations). Liyan Song has collaborated with scholars based in China, United States and Bangladesh. Frequent co-authors include Janette R. Hill, Yangqing Wang, Ernise Singleton, Myung Hwa Koh, Yang Shu, Wei Tang, Yu Lei, Xiaoli Chai, Richard E. West and Rui Zhang. Their work appears in journals such as SHILAP Revista de lepidopterología, Environmental Science & Technology and PLoS ONE.

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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