Helen H. Hu

850 citations
56 papers · 568 indexed · h-index 14

Helen H. Hu

51 papers receiving 542 citations

Peers

Helen H. Hu
Comparison fields: 5 of 81
  • Computer Science Applications 228
  • Media Technology 105
  • Developmental and Educational Psychology 103
  • Education 195
  • Gender Studies 60
Replace Anne Forbes with:
Anne Forbes Australia
Adrienne E. Williams United States
Brian Gravel United States
Corey Brady United States
Ian Sanders South Africa
Konrad Schönborn Sweden
Kelly Mills United States
Oi‐Lam Ng Hong Kong
Estefanía Martín Spain
Susan R. Singer United States
Helen H. Hu relative to Anne Forbes Australia Anne Forbes's profile →
Citations per field
00.5×10×17×
Anne Forbes · 1×
Citations per year

Countries citing papers authored by Helen H. Hu

Since Specialization
Citations

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

Fields of papers citing papers by Helen H. Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Helen H. Hu. 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 Helen H. Hu. The network helps show where Helen H. Hu may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Helen H. Hu, 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 Helen H. Hu Line = papers co-authored together Helen H. Hu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20242
2 20240
3 20234
4 20231
5 20211
6 20200
7 20195
8 20191
9 20184
10
Guiding students to understand CS concepts and develop process skills with POGIL: pre-conference workshop
20172
11 20163
12 20161
13
CS principles with POGIL activities as a learning community
20156
14 20151
15 20132
16
A Stunning Admission.
20120
17
The Dark Side of Globalization.
20111
18
Teaching introductory computer graphics via ray tracing
20101
19
A summer programming workshop for middle school girls
200812
20 199651

About Helen H. Hu

Helen H. Hu is a scholar working on Computer Science Applications, Media Technology, Developmental and Educational Psychology, Education and Gender Studies, having authored 56 papers that have together received 568 indexed citations. Recurring topics across this work include Teaching and Learning Programming (25 papers), Experimental Learning in Engineering (19 papers), Problem and Project Based Learning (10 papers), Innovative Teaching and Learning Methods (10 papers), Innovative Teaching Methods (7 papers), Gender and Technology in Education (7 papers), Biomedical and Engineering Education (6 papers) and Genetics, Bioinformatics, and Biomedical Research (5 papers). The work is most often cited by research in Computer Science Applications (228 citations), Media Technology (105 citations), Developmental and Educational Psychology (103 citations), Education (195 citations) and Gender Studies (60 citations). Helen H. Hu has collaborated with scholars based in United States, Canada and Norway. Frequent co-authors include Tricia D. Shepherd, Clif Kussmaul, Chris Mayfield, Aman Yadav, Douglass H. Morse, Michael S. Ringel, Amy A. Gooch, Sarah H. Creem-Regehr, William B. Thompson and Patricia B. Campbell. Their work appears in journals such as Behavioral Ecology, Computing in Science & Engineering, ACM Transactions on Computing Education, Multimedia Systems and Theoretical Population Biology.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026