Corporate research: companies publishing in the tracked journals, 2023–2025

Companies whose researchers publish in the 400 tracked journals, ranked by their papers in each year from 2023 to 2025, and how much of the research has corporate authors. A paper counts as corporate when at least one of its authors is affiliated with an institution that OpenAlex classifies as a company; it counts once for each company among its authors' affiliations. Universities are the institutions OpenAlex classifies as education. Also as Markdown.

By category: Finance · Accounting · Economics · Health Economics and Policy · Management · Marketing · Information Systems · Tourism and Hospitality · Higher Education and Research · Operations Research · Statistics · AI

Key findings#

Of the 168,221 papers the 400 tracked journals published in 2023–2025, 4,810 (3%) have at least one author at a company; 93% of those also have a university author.
The corporate share of papers went from 2% in 2017 to 3% in 2025.
Tencent (China) took part in the most papers (244), followed by Huawei Technologies (China) (194) and Alibaba Group (China) (180).
Companies take part most in health economics and policy papers (7%) and least in tourism and hospitality (0%).
By the companies' countries: China (2,997), United States (1,254), United Kingdom (278) and Germany (238).
Keywords with the highest corporate share: “quality-adjusted life years” (24%), “text-to-image generation” (22%) and “economic burden” (20%).

Companies#

Companies with the most papers, 2023–2025
#	Company	Country	2023	2024	2025	2023–2025
1	Tencent (China)	China	72	88	84	244
2	Huawei Technologies (China)	China	72	56	66	194
3	Alibaba Group (China)	China	56	66	58	180
4	Jingdong (China)	China	61	34	35	130
5	Amazon (United States)	United States	47	37	41	125
6	China Telecom	China	13	33	73	119
7	Baidu (China)	China	30	33	32	95
8	ByteDance (China)	China	23	22	35	80
9	Meta (United States)	United States	33	23	19	75
10	China Telecom (China)	China	7	20	45	72
11	State Grid Corporation of China (China)	China	21	15	36	72
12	Microsoft (United States)	United States	17	22	25	64
13	China Mobile (China)	China	12	22	27	61
14	Sensetime (China)	China	21	20	20	61
15	Ant Group (China)	China	20	20	20	60
16	Microsoft Research Asia (China)	China	21	20	19	60
17	China Electronics Technology Group Corporation	China	17	14	18	49
18	Google (United States)	United States	28	12	8	48
19	Samsung (South Korea)	South Korea	10	16	22	48
20	Meituan (China)	China	12	21	13	46
21	Inspur (China)	China	7	8	26	41
22	IBM (United States)	United States	15	12	8	35
23	Alibaba DAMO Academy (China)	China	11	14	9	34
24	China United Network Communications Group (China)	China	3	9	22	34
25	Nvidia (United States)	United States	8	13	11	32
26	Lenovo (China)	China	10	9	12	31
27	Kuaishou (China)	–	7	10	13	30
28	Intel (United States)	United States	9	8	12	29
29	Samsung Electronics (South Korea)	South Korea	4	11	14	29
30	China Mobile Research Institute	China	3	13	12	28
31	IFlyTek (China)	–	4	9	14	27
32	Sinopec (China)	China	6	8	12	26
33	Électricité de France (France)	France	10	12	4	26
34	Analysis Group (United States)	United States	6	8	8	22
35	BMW (Germany)	Germany	8	5	9	22
36	Bristol-Myers Squibb (United States)	United States	7	11	4	22
37	F. Hoffmann-La Roche AG	Switzerland	7	7	7	21
38	Google DeepMind (United Kingdom)	United Kingdom	5	7	9	21
39	LG (South Korea)	South Korea	4	9	7	20
40	China Aerospace Science and Industry Corporation (China)	China	3	7	9	19
41	China National Petroleum Corporation (China)	China	7	4	8	19
42	Ping An (China)	–	7	5	7	19
43	Adobe Systems (United States)	United States	5	7	6	18
44	China North Industries Group Corporation (China)	China	6	4	8	18
45	BYD (China)	China	2	6	9	17
46	Boston Consulting Group (United States)	United States	9	3	5	17
47	Charles River Associates	United States	5	5	7	17
48	Didi Chuxing (China)	–	4	9	4	17
49	Flanders Make (Belgium)	Belgium	6	8	3	17
50	Prometeia (Italy)	Italy	4	4	9	17

By category and year#

Share of papers with an author at a company, per category and year
Category	2017	2018	2019	2020	2021	2022	2023	2024	2025	2026 (so far)
Finance	1%	1%	1%	1%	2%	1%	1%	1%	1%	1%
Accounting	1%	1%	0%	0%	0%	0%	0%	1%	0%	0%
Economics	1%	1%	1%	1%	1%	1%	1%	1%	1%	1%
Health Economics and Policy	6%	8%	8%	8%	9%	9%	8%	7%	7%	6%
Management	1%	1%	1%	1%	1%	1%	1%	1%	1%	1%
Marketing	1%	0%	1%	2%	1%	0%	1%	1%	1%	1%
Information Systems	3%	3%	2%	2%	2%	2%	2%	2%	2%	2%
Tourism and Hospitality	0%	0%	0%	0%	0%	1%	0%	0%	1%	0%
Higher Education and Research	2%	1%	1%	1%	0%	0%	1%	1%	1%	1%
Operations Research	3%	3%	3%	3%	3%	3%	3%	2%	2%	2%
Statistics	1%	2%	3%	3%	3%	2%	2%	2%	2%	2%
AI	4%	5%	6%	6%	6%	6%	6%	6%	6%	5%
All categories	2%	2%	3%	3%	3%	3%	3%	3%	3%	2%

Countries#

Countries of the companies, by papers with an author at a company there, 2023–2025
#	Country	Papers
1	China	2,997
2	United States	1,254
3	United Kingdom	278
4	Germany	238
5	South Korea	196
6	Japan	195
7	France	171
8	Switzerland	101
9	Italy	91
10	Spain	78
11	Belgium	71
12	Netherlands	69
13	India	68
14	Sweden	63
15	Canada	54
16	Austria	34
17	Turkey	33
18	Denmark	33
19	Brazil	31
20	Norway	30
21	Hungary	28
22	Taiwan	23
23	Singapore	22
24	Australia	17
25	Ireland	16

Topics#

Keywords with the highest corporate share (at least 100 papers), 2023–2025
#	Keyword	Share	Corporate papers	All papers
1	quality-adjusted life years	24%	118	487
2	text-to-image generation	22%	31	141
3	economic burden	20%	31	152
4	neural radiance fields	19%	20	104
5	health-related quality of life	19%	36	189
6	incremental cost-effectiveness ratio	19%	24	128
7	health technology assessment	18%	58	314
8	pre-training	18%	24	130
9	hospitalization	18%	22	124
10	instance segmentation	17%	24	142
11	Markov model	16%	26	164
12	cost-effectiveness	16%	133	855
13	autonomous driving perception	15%	15	100
14	parameter-efficient fine-tuning	15%	33	221
15	multimodal large language models	14%	37	257
16	end-to-end learning	14%	21	146
17	object detection	14%	91	656
18	cost-utility analysis	13%	17	126
19	semantic segmentation	13%	87	646
20	foundation models	13%	25	188
21	memory efficiency	13%	17	128
22	3D object detection	13%	21	159
23	image restoration	13%	32	250
24	inference efficiency	13%	21	165
25	3D Gaussian Splatting	13%	16	127
26	depth estimation	12%	19	152
27	human action recognition	12%	14	113
28	health care costs	12%	58	476
29	domain gap	12%	13	107
30	image captioning	12%	14	116
31	benchmark	12%	15	125
32	self-distillation	12%	14	117
33	CLIP	12%	46	385
34	multivariate time series	12%	27	228
35	in-context learning	11%	12	105
36	sequential recommendation	11%	17	151
37	quality of life	11%	21	187
38	prompt learning	11%	23	205
39	out-of-distribution generalization	11%	23	205
40	image enhancement	11%	11	101

Keywords of corporate papers#

Keywords of the most corporate papers, 2023–2025
#	Keyword	Corporate papers	All papers	Share
1	large language models	216	3,166	7%
2	graph neural networks	149	2,102	7%
3	cost-effectiveness	133	855	16%
4	contrastive learning	130	1,644	8%
5	quality-adjusted life years	118	487	24%
6	self-supervised learning	91	1,032	9%
7	object detection	91	656	14%
8	semantic segmentation	87	646	13%
9	image classification	87	846	10%
10	attention mechanism	80	1,667	5%
11	knowledge distillation	79	1,021	8%
12	diffusion models	76	791	10%
13	COVID-19 pandemic	76	5,530	1%
14	class imbalance	74	1,675	4%
15	data augmentation	70	1,078	6%
16	transformer models	70	1,144	6%
17	multimodal fusion	70	1,225	6%
18	pseudo-labeling	65	761	9%
19	interpretability	65	1,246	5%
20	self-attention	58	733	8%
21	health technology assessment	58	314	18%
22	health care costs	58	476	12%
23	computational efficiency	57	1,278	4%
24	semi-supervised learning	57	732	8%
25	China	56	6,654	1%
26	transfer learning	55	985	6%
27	vision-language models	54	568	10%
28	autonomous driving	54	563	10%
29	domain adaptation	53	695	8%
30	reinforcement learning	53	1,018	5%
31	domain generalization	53	543	10%
32	catastrophic forgetting	51	555	9%
33	federated learning	50	987	5%
34	vision transformer	50	670	7%
35	few-shot learning	50	655	8%
36	explainable AI	47	1,307	4%
37	CLIP	46	385	12%
38	convolutional neural networks	45	1,257	4%
39	overfitting	45	529	9%
40	mixed-integer linear programming	44	1,121	4%

Cite this page

Scholar4AI. (2026). Corporate research: companies publishing in the tracked journals, 2023–2025. Journal Research Rankings. Retrieved October 31, 2026, from https://scholar4ai.com/rankings/companies

@misc{scholar4ai-rankings-companies,
  author = {{Scholar4AI}},
  title = {Corporate research: companies publishing in the tracked journals, 2023–2025},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/rankings/companies}},
  urldate = {2026-10-31},
  note = {Journal Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}

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