Lang Huang

856 citations
22 papers · 683 indexed · h-index 14

Lang Huang

19 papers receiving 664 citations

Peers

Lang Huang
Comparison fields: 5 of 99
  • Radiological and Ultrasound Technology 418
  • Chemical Health and Safety 51
  • Statistics, Probability and Uncertainty 362
  • Medical Laboratory Technology 57
  • Safety, Risk, Reliability and Quality 98
Replace Liangguo Kang with:
Liangguo Kang China
Micaela Demichela Italy
Risza Rusli Malaysia
Panagiotis K. Marhavilas Greece
Jean‐Luc Wybo France
Urban Kjellén Norway
Zoe Nivolianitou Greece
C. Kirchsteiger Italy
Adel Badri Canada
Olivier Salvi France
Lang Huang relative to Liangguo Kang China Liangguo Kang's profile →
Citations per field
00.5×1.5×2.2×
Liangguo Kang · 1×
Citations per year

Countries citing papers authored by Lang Huang

Since Specialization
Citations

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

Fields of papers citing papers by Lang Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 22 scholars most cited alongside Lang Huang, 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 Lang Huang Line = papers co-authored together Lang Huang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20241
2 20240
3 20230
4 20210
5 201926
6 201919
7 201910
8 2018111
9 201824
10 201813
11 201862
12 201852
13 201846
14 20185
15 2018102
16 201743
17 201750
18 20179
19 201727
20 20152

About Lang Huang

Lang Huang is a scholar working on Radiological and Ultrasound Technology, Statistics, Probability and Uncertainty, Chemical Health and Safety, Medical Laboratory Technology and Management Information Systems, having authored 22 papers that have together received 683 indexed citations. Recurring topics across this work include Occupational Health and Safety Research (13 papers), Risk and Safety Analysis (11 papers), Big Data and Business Intelligence (3 papers), Quality and Safety in Healthcare (2 papers), Supply Chain Resilience and Risk Management (2 papers), Noise Effects and Management (2 papers), Data Quality and Management (2 papers) and Big Data Technologies and Applications (2 papers). The work is most often cited by research in Radiological and Ultrasound Technology (418 citations), Chemical Health and Safety (51 citations), Statistics, Probability and Uncertainty (362 citations), Medical Laboratory Technology (57 citations) and Safety, Risk, Reliability and Quality (98 citations). Lang Huang has collaborated with scholars based in China, Netherlands and Belgium. Frequent co-authors include Chao Wu, Liangguo Kang, Bing Wang, Genserik Reniers, Laobing Zhang, Bing Wang, Bing Wang, Bo Shi, Bing Wang and Bing Wang. Their work appears in journals such as Safety Science, Journal of Cleaner Production, Process Safety Progress, The Science of The Total Environment and The International Journal of Advanced Manufacturing Technology.

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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